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Prof Svetha Venkatesh

STAFF PROFILE

Position

Alfred Deakin Professor

Faculty

Faculty of Sci Eng & Built Env

Department

Patt Recogntn & Data Analytics

Campus

Geelong Waurn Ponds Campus

Contact

Publications

Filter by

2017

Using linguistic and topic analysis to classify sub-groups of online depression communities

T Nguyen, B O Dea, M Larsen, D Phung, S Venkatesh, H Christensen

(2017), Vol. 76, pp. 10653-10676, Multimedia tools and applications, Amsterdam, The Netherlands, C1-1

journal

Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions

B Saha, S Gupta, Q Phung, S Venkatesh

(2017), Vol. 53, pp. 179-206, Knowledge and information systems, London, Eng., C1

journal

A framework for mixed-type multi-outcome prediction with applications in healthcare

B Saha, S Gupta, D Phung, S Venkatesh

(2017), Vol. 21, pp. 1182-1191, IEEE journal of biomedical and health informatics, Piscataway, N.J., C1

journal

Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data

P Vellanki, T Duong, S Gupta, S Venkatesh, D Phung

(2017), Vol. 51, pp. 127-157, Knowledge and information systems, London, Eng., C1

journal

Hierarchical semi-Markov conditional random fields for deep recursive sequential data

T Tran, D Phung, H Bui, S Venkatesh

(2017), Vol. 246, pp. 53-85, Artificial intelligence, Amsterdam, The Netherlands, C1

journal

Deepr: a convolutional net for medical records

P Nguyen, T Tran, N Wickramasinghe, S Venkatesh

(2017), Vol. 21, pp. 22-30, IEEE journal of biomedical and health informatics, Piscataway, N.J., C1

journal

Predicting healthcare trajectories from medical records: a deep learning approach.

T Pham, T Tran, D Phung, S Venkatesh

(2017), Vol. 69, pp. 218-229, Journal of biomedical informatics, Amsterdam, The Netherlands, C1

journal

Estimation of the prevalence of adverse drug reactions from social media

T Nguyen, M Larsen, B O'Dea, D Phung, S Venkatesh, H Christensen

(2017), Vol. 102, pp. 130-137, International journal of medical informatics, Amsterdam, The Netherlands, C1

journal

Regret bounds for transfer learning in Bayesian optimisation

A Shilton, S Gupta, S Rana, S Venkatesh

(2017), Vol. 54, pp. 1-9, AISTATS 2017 : Machine Learning Research : Proceedings of the 20th Artificial Intelligence and Statistics International Conference, Fort Lauderdale, Florida, E1

conference

Stable bayesian optimization

T Nguyen, S Gupta, S Rana, S Venkatesh

(2017), Vol. 54, pp. 578-591, PAKDD 2017 : Advances in Knowledge Discovery and Data Mining : Proceedings of the 21st Pacific-Asia Conference, Jeju, South Korea, E1

conference

Column networks for collective classification

T Pham, T Tran, Q Phung, S Venkatesh

(2017), pp. 2485-2491, AAAI-17: Proceedings of the 31st Artificial Intelligence AAAI Conference, San Francisco, California, E1

conference

Stable clinical prediction using graph support vector machines

I Kamkar, S Gupta, C Li, D Phung, S Venkatesh

(2017), pp. 3332-3337, 2016 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, E1

conference

MCNC: multi-channel nonparametric clustering from heterogeneous data

T Nguyen, V Nguyen, S Venkatesh, D Phung

(2017), pp. 3633-3638, 2016 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, E1

conference

Rapid Bayesian optimisation for synthesis of short polymer fiber materials

C Li, D Rubín de Celis Leal, S Rana, S Gupta, A Sutti, S Greenhill, T Slezak, M Height, S Venkatesh

(2017), Vol. 7, pp. 1-10, Scientific reports, London, Eng., C1

journal
2016

Multiple task transfer learning with small sample sizes

B Saha, S Gupta, Q Phung, S Venkatesh

(2016), Vol. 46, pp. 315-342, Knowledge and information systems, Berlin, Germany, C1

journal

Data clustering using side information dependent Chinese restaurant processes

C Li, S Rana, Q Phung, S Venkatesh

(2016), Vol. 47, pp. 463-488, Knowledge and information systems, Berlin, Germany, C1

journal

Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach

T Tran, Q Phung, S Venkatesh

(2016), Vol. 47, pp. 157-188, Knowledge and information systems, New York, N.Y., C1

journal

Stabilizing l1-norm prediction models by supervised feature grouping

I Kamkar, S Gupta, Q Phung, S Venkatesh

(2016), Vol. 59, pp. 149-168, Journal of biomedical informatics, Amsterdam, The Netherlands, C1

journal

Graph-induced restricted Boltzmann machines for document modeling

T Nguyen, T Tran, Q Phung, S Venkatesh

(2016), Vol. 328, pp. 60-75, Information sciences, Amsterdam, The Netherlands, C1

journal

DeepCare: a deep dynamic memory model for predictive medicine

T Pham, T Tran, Q Phung, S Venkatesh

(2016), Vol. 9652, pp. 30-41, The 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2016, Auckland, New Zealand, B1

chapter

Neural choice by elimination via highway networks

T Tran, D Phung, S Venkatesh

(2016), Vol. 9794, pp. 15-25, Trends and applications in knowledge discovery and data mining: PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, revised selected papers, Cham, Switzerland, B1

chapter

A new transfer learning framework with application to model-agnostic multi-task learning

S Gupta, S Rana, B Saha, Q Phung, S Venkatesh

(2016), Vol. 49, pp. 933-973, Knowledge and information systems, London, England, C1

journal

Nonparametric discovery of movement patterns from accelerometer signals

T Nguyen, S Gupta, S Venkatesh, Q Phung

(2016), Vol. 70, pp. 52-58, Pattern recognition letters, Amsterdam, The Netherlands, C1

journal

Streaming variational inference for dirichlet process mixtures

H Huynh, Q Phung, S Venkatesh

(2016), Vol. 45, pp. 237-252, ACML 2015: Proceedings of the 7th Asian Conference on Machine Learning, Hong Kong, PRC, E1

conference

A framework for classifying online mental health related communities with an interest in depression

B Saha, T Nguyen, Q Phung, S Venkatesh

(2016), Vol. 20, pp. 1008-1015, IEEE journal of biomedical and health informatics, Piscatawy, N.J., C1

journal

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records

C Li, S Rana, D Phung, S Venkatesh

(2016), Vol. 99, pp. 168-182, Knowledge-based systems, Amsterdam, The Netherlands, C1

journal

Flexible transfer learning framework for bayesian optimisation

T Joy, S Rana, S Gupta, S Venkatesh

(2016), Vol. 9651, pp. 102-114, Advances in knowledge discovery and data mining: 20th Pacific-Asia Conference, PAKDD 2016 Auckland, New Zealand, April 19-22, 2016 proceedings, part I, Berlin, Germany, B1

chapter

Toxicity prediction in cancer using multiple instance learning in a multi-task framework

C Li, S Gupta, S Rana, W Luo, S Venkatesh, D Ashley, Q Phung

(2016), Vol. 9651, pp. 152-164, Advances in knowledge discovery and data mining: 20th Pacific-Asia Conference, PAKDD 2016 Auckland, New Zealand, April 19-22, 2016 proceedings, part I, Berlin, Germany, B1

chapter

Privacy aware K-means clustering with high utility

T Nguyen, S Gupta, S Rana, S Venkatesh

(2016), Vol. 9652, pp. 388-400, Advances in knowledge discovery and data mining: 20th Pacific-Asia Conference, PAKDD 2016 Auckland, New Zealand, April 19-22, 2016 proceedings, part I, Berlin, Germany, B1

chapter

Differentially private multi-task learning

S Gupta, S Rana, S Venkatesh

(2016), Vol. 9650, pp. 101-113, Intelligence and security informatics : 11th Pacific Asia workshop, PAISI 2016 Auckland, New Zealand, April 19, 2016 proceedings, Berlin, Germany, B1

chapter

Consistency of the Health of the Nation Outcome Scales (HoNOS) at inpatient-to-community transition.

W Luo, R Harvey, T Tran, Q Phung, S Venkatesh, J Connor

(2016), Vol. 6, pp. 1-6, BMJ open, London, Eng., C1

journal

Multi-task transfer learning for in hospital-death prediction for ICU patients

C Karmakar, B Saha, M Palaniswami, S Venkatesh

(2016), pp. 3321-3324, EMBC 2016: Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida, E1

conference

Dirichlet process mixture models with pairwise constraints for data clustering

C Li, S Rana, Q Phung, S Venkatesh

(2016), Vol. 3, pp. 205-223, Annals of data science, Berlin, Germany, C1

journal

CCTV scene perspective distortion estimation from low-level motion features

D Pham, S Venkatesh, O Arandjelovic

(2016), Vol. 26, pp. 939-949, IEEE transactions on circuits and systems for video technology, Piscataway, N.J., C1

journal

Transfer learning for rare cancer problems via discriminative sparse gaussian graphical mode

B Saha, S Gupta, Q Phung, S Venkatesh

(2016), pp. 537-542, 2016 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, E1

conference

Collaborative filtering via sparse Markov random fields

T Tran, D Phung, S Venkatesh

(2016), Vol. 369, pp. 221-237, Information sciences, Amsterdam, The Netherlands, C1

journal

Predicting risk of suicide attempt using history of physical illnesses from electronic medical records

C Karmakar, W Luo, T Tran, M Berk, S Venkatesh

(2016), Vol. 3, pp. 1-10, JMIR mental health, Toronto, Ont., C1

journal

Scalable nonparametric Bayesian multilevel clustering

V Huynh, Q Phung, S Venkatesh, X Nguyen, M Hoffman, H Bui

(2016), pp. 289-298, UAI 2016: Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence, New York, N.Y., E1

conference

Screening for post 32-week preterm birth risk: how helpful is routine perinatal data collection?

W Luo, E Huning, T Tran, D Phung, S Venkatesh

(2016), Vol. 2, pp. 1-15, Heliyon, Amsterdam, The Netherlands, C1

journal

Forecasting daily patient outflow from a ward having no real-time clinical data

S Gopakumar, T Tran, W Luo, D Phung, S Venkatesh

(2016), Vol. 4, pp. 1-16, JMIR medical informatics, Toronto, Ont., C1

journal

Ageing, chronic disease and injury: a study in western Victoria (Australia)

M Sajjad, K Holloway, M Kotowicz, P Livingston, M Khasraw, S Hakkennes, P Dunning, S Brumby, R Page, D Pedler, A Sutherland, S Venkatesh, S Brennan-Olsen, L Williams, J Pasco

(2016), Vol. 5, pp. 81-86, Journal of public health research, Pavia, Italy, C1

journal

Preterm birth prediction : deriving stable and interpretable rules from high dimensional data

T Tran, W Luo, Q Phung, J Morris, K Rickard, S Venkatesh

(2016), pp. 1-13, MLHC 2016 : Proceedings on Conference on Machine Learning in Healthcare, Los Angeles, California, E1

conference

Discovering latent affective dynamics among individuals in online mental health-related communities

B Dao, T Nguyen, S Venkatesh, D Phung

(2016), pp. 473-478, ICME 2016 : Proceedings of the IEEE Multimedia and Expo International Conference, Seattle, Washington, E1

conference

Identification and outcomes of clinical phenotypes in amyotrophic lateral sclerosis/motor neuron disease: Australian National Motor Neuron Disease observational cohort

P Talman, T Duong, S Vucic, S Mathers, S Venkatesh, R Henderson, D Rowe, D Schultz, R Edis, M Needham, R Macdonnell, P McCombe, C Birks, M Kiernan

(2016), Vol. 6, pp. 1-8, BMJ open, London, Eng., C1

journal

Randomised controlled trial of an iPad based early intervention for autism: TOBY playpad study protocol

J Granich, A Dass, M Busacca, D Moore, A Anderson, S Venkatesh, T Duong, P Vellanki, A Richdale, D Trembath, D Cairns, W Marshall, T Rodwell, M Rayner, A Whitehouse

(2016), Vol. 16, pp. 1-12, BMC pediatrics, London, Eng., C1

journal

Discriminative cues for different stages of smoking cessation in online community

T Nguyen, R Borland, J Yearwood, H Yong, S Venkatesh, D Phung

(2016), Vol. LNCS 10042, pp. 146-153, WISE 2016 : Proceedings of the 17th International Conference on Web Information Systems Engineering, Shanghai, China, E1

conference

Large-scale stylistic analysis of formality in academia and social media

T Nguyen, S Venkatesh, D Phung

(2016), Vol. LNCS 10042, pp. 137-145, WISE 2016 : Proceedings of the 17th International Conference on Web Information Systems Engineering, Shanghai, China, E1

conference

Extracting key challenges in achieving sobriety through shared subspace learning

H Harikumar, T Nguyen, S Rana, S Gupta, R Kaimal, S Venkatesh

(2016), Vol. 10086, pp. 420-433, ADMA 2016 : Proceedings of the 12th Advanced Data Mining and Applications International Conference, Gold Coast, Queensland, E1

conference

Understanding behavioral differences between short and long-term drinking abstainers from social media

H Harikumar, T Nguyen, S Gupta, S Rana, R Kaimal, S Venkatesh

(2016), Vol. 10086, pp. 520-533, ADMA 2016 : Proceedings of the 12th Advanced Data Mining and Applications International Conference, Gold Coast, Queensland, E1

conference

Guidelines for developing and reporting machine learning predictive models in biomedical research : a multidisciplinary view

W Luo, Q Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, J Yearwood, N Dimitrova, T Ho, S Venkatesh, M Berk

(2016), Vol. 18, pp. 1-10, Journal of medical internet research, Toronto, Ont., C1

journal

Outlier detection on mixed-type data: an energy-based approach

D Do, D DO, T Tran, D Phung, S Venkatesh

(2016), Vol. 10086, pp. 111-125, ADMA 2016 : Proceedings of the 12th International Conference of Advanced Data Mining and Applications, Gold Coat, Queensland, E1

conference

Stabilizing linear prediction models using autoencoder

S Gopakumar, T Tran, D Phung, S Venkatesh

(2016), Vol. 10086, pp. 651-663, ADMA 2016 : Proceedings of the 12th International Conference for Advanced Data Mining and Applications, Gold Coast, Queensland, E1

conference

Exceptional contrast set mining: moving beyond the deluge of the obvious

D Nguyen, W Luo, D Phung, S Venkatesh

(2016), Vol. LNAI 9992, pp. 455-468, AI 2016 : Advances in artificial intelligence : Proceedings of the 29th Australian Joint Conference, Hobart, Tas., E1

conference

Cascade Bayesian optimization

T Nguyen, S Gupta, S Rana, V Nguyen, S Venkatesh, K Deane, P Sanders

(2016), Vol. 9992, pp. 268-280, AI 2016: Advances in Artificial Intelligence : Proceedings of the Australasian Joint Conference, Hobart, Tasmania, E1

conference

Achieving stable subspace clustering by post-processing generic clustering results

D Pham, O Arandjelovi?, S Venkatesh

(2016), pp. 2390-2396, IJCNN 2016 : Proceedings of the 2016 International Joint Conference of Neural Networks, Vancouver, B.C., E1

conference

Forecasting patient outflow from wards having no real-time clinical data

S Gopakumar, T Tran, W Luo, D Phung, S Venkatesh

(2016), pp. 177-183, ICHI 2016: Proceedings of the IEEE International Conference on Healthcare Informatics, Chicago, Illinois, E1

conference

Learning multifaceted latent activities from heterogeneous mobile data

T Nguyen, V Nguyen, T Nguyen, S Venkatesh, M Kumar, D Phung

(2016), pp. 389-398, DSAA 2016 : Proceedings of the 3rd IEEE International Conference on Data Science and Advanced Analytics, Montreal, Canada, E1

conference

Effect of social capital on emotion, language style and latent topics in online depression community

B Dao, T Nguyen, S Venkatesh, D Phung

(2016), pp. 61-66, RIVF 2016 : Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies Research, Innovation, and Vision for the Future, Hanoi, Vietnam, E1

conference

Analysing the history of autism spectrum disorder using topic models

A Beykikhoshk, D Phung, O Arandjelovic, S Venkatesh

(2016), pp. 762-771, DSAA 2016 : Proceedings of the 3rd IEEE International Conference on Data Science and Advanced Analytics, Montreal, Canada, E1

conference

Computer assisted autism interventions for India

P Vellanki, S Greenhill, T Duong, D Phung, S Venkatesh, J Godwin, K Achary, B Varkey

(2016), pp. 618-622, OzCHI 2016 : Connected futures : Proceedings of the 28th Australian Conference on the Human-Computer Interaction, Launceston, Tas., E1

conference

Budgeted batch Bayesian optimization

V Nguyen, S Rana, S Gupta, C Li, S Venkatesh

(2016), pp. 1107-1112, ICDM 2016: Proceedings of the 16th IEEE International Conference on Data Mining, Barcelona, Spain, E1

conference

Hyperparameter tuning for big data using Bayesian optimisation

T Theckel Joy, S Rana, S Gupta, S Venkatesh

(2016), pp. 2574-2579, ICPR 2016: Proceedings of the 23rd International Conference on Pattern Recognition, Cancun, Mexico, E1

conference

Multiple adverse effects prediction in longitudinal cancer treatment

C Li, S Gupta, S Rana, T Nguyen, S Venkatesh, D Ashley, P Livingston

(2016), pp. 3156-3161, ICPR 2016: Proceedings of the 23rd International Conference on Pattern Recognition, Cancun, Mexico, E1

conference

Bayesian nonparametric Multiple Instance Regression

S Subramanian, S Rana, S Gupta, S Venkatesh, P Sivakumar, C Velayutham

(2016), pp. 3661-3666, ICPR 2016: Proceedings of the 23rd International Conference on Pattern Recognition, Cancun, Mexico, E1

conference

Differentially private multi-task learning

S Rana, S Gupta, S Venkatesh

(2016), Vol. 9650, pp. 101-113, PAISI 2016 : Intelligence and Security Informatics : Proceedings of the 11th Pacific-Asia Workshop, Auckland, New Zealand, E1

conference

A bayesian nonparametric approach for multi-label classification

T Nguyen, S Gupta, S Rana, C Li, S Venkatesh

(2016), Vol. 63, pp. 254-269, ACML 2016: Proceedings of the 8th Asian Conference on Machine Learning, Hamilton, New Zealand, E1

conference

Faster training of very deep networks via p-norm gates

T Tran, T Pham, Q Phung, S Venkatesh

(2016), pp. 3542-3547, ICPR 2016: Proceedings of the 23rd International Conference on Pattern Recognition, Cancun, Mexico, E1

conference
2015

TOBY play-pad application to teach children with ASD - a pilot trial

D Moore, S Venkatesh, A Anderson, S Greenhill, Q Phung, T Duong, D Cairns, W Marshall, A Whitehouse

(2015), Vol. 18, pp. 213-217, Developmental neurorehabilitation, London, Eng., C1

journal

Stabilized sparse ordinal regression for medical risk stratification

T Tran, D Phung, W Luo, S Venkatesh

(2015), Vol. 43, pp. 555-582, Knowledge and information systems: an international journal, Berlin, Germany, C1

journal

Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso

I Kamkar, S Gupta, D Phung, S Venkatesh

(2015), Vol. 53, pp. 277-290, Journal of biomedical informatics, Amsterdam, The Netherlands, C1

journal

Detection of dynamic background due to swaying movements from motion features

D Pham, O Arandjelovic, S Venkatesh

(2015), Vol. 24, pp. 332-344, IEEE transactions on image processing, Piscatawy, N.J., C1

journal

Continuous discovery of co-location contexts from Bluetooth data

T Nguyen, S Gupta, S Venkatesh, Q Phung

(2015), Vol. 16, pp. 286-304, Pervasive and mobile computing, Amsterdam, The Netherlands, C1

journal

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)

T Tran, T Nguyen, Q Phung, S Venkatesh

(2015), Vol. 54, pp. 96-105, Journal of biomedical informatics, Amsterdam, The Netherlands, C1

journal

Web search activity data accurately predict population chronic disease risk in the USA

T Nguyen, T Tran, W Luo, S Gupta, S Rana, Q Phung, M Nichols, L Millar, S Venkatesh, S Allender

(2015), Vol. 69, pp. 693-699, Journal of epidemiology and community health, London, Eng., C1

journal

Visual object clustering via mixed-norm regularization

X Zhang, D Pham, Q Phung, W Liu, B Saha, S Venkatesh

(2015), pp. 1030-1037, WACV 2015: Proceedings of the 15th IEEE Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, E1

conference

Mixed-norm sparse representation for multi view face recognition

X Zhang, D Pham, S Venkatesh, W Liu, Q Phung

(2015), Vol. 48, pp. 2935-2946, Pattern recognition, Amsterdam, The Netherlands, C1

journal

A predictive framework for modeling healthcare data with evolving clinical interventions

S Rana, S Gupta, Q Phung, S Venkatesh

(2015), Vol. 8, pp. 162-182, Statistical analysis and data mining, London, Eng., C1

journal

Is demography destiny? Application of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset

W Luo, T Nguyen, M Nichols, T Tran, S Rana, S Gupta, Q Phung, S Venkatesh, S Allender

(2015), Vol. 10, pp. 1-13, PLoS One, San Francisco, Calif., C1

journal

Stabilizing high-dimensional prediction models using feature graphs.

S Gopakumar, T Tran, T Nguyen, Q Phung, S Venkatesh

(2015), Vol. 19, pp. 1044-1052, IEEE journal of biomedical and health informatics, Champaign, III., C1

journal

Efficient and accurate set-based registration of time-separated aerial images

O Arandjelovic, D Pham, S Venkatesh

(2015), Vol. 48, pp. 3466-3476, Pattern recognition, Amsterdam, The Netherlands, C1

journal

Autism blogs: expressed emotion, language styles and concerns in personal and community settings

T Nguyen, T Duong, S Venkatesh, Q Phung

(2015), Vol. 6, pp. 312-323, IEEE transactions on affective computing, Piscataway, N.J., C1

journal

Using Twitter to learn about the autism community

A Beykikhoshk, O Arandjelovic, D Phung, S Venkatesh, T Caelli

(2015), Vol. 5, pp. 1-17, Social Network Analysis and Mining, New York, N.Y., C1

journal

A Bayesian nonparametric approach to multilevel regression

T Nguyen, Q Phung, Venkatesh, H Bui

(2015), Vol. 9077, pp. 330-342, PAKDD 2015: Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining, Ho Chi Minh City, Vietnam, B1

chapter

Tensor-variate restricted Boltzmann machines

T Nguyen, Q Phung, T Tran, S Venkatesh

(2015), Vol. 3, pp. 2887-2893, AAAI 2015: The Proceedings of the 29th AAAI Conference on Artificial Intelligence, Austin, Tex., E1

conference

Small-variance asymptotics for bayesian nonparametric models with constraints

C Li, S Rana, Q Phung, S Venkatesh

(2015), Vol. 9078, pp. 92-105, Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Vietnam, B1

chapter

Fast one-class support vector machine for novelty detection

T Le, Q Phung, K Nguyen, Venkatesh

(2015), Vol. 9078, pp. 189-200, Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining, Vietnam, B1

chapter

Learning conditional latent structures from multiple data sources

H Huynh, Q Phung, L Nguyen, Venkatesh, H Bui

(2015), pp. 343-354, Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Vietnam, B1

chapter

Collaborating differently on different topics: a multi-relational approach to multi-task learning

S Gupta, S Rana, Q Phung, S Venkatesh

(2015), Vol. 9077, pp. 303-316, Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Vietnam, B1

chapter

Stabilizing sparse cox model using statistic and semantic structures in electronic medical records

S Gopakumar, T Nguyen, T Tran, Q Phung, Venkatesh

(2015), Vol. 9078, pp. 331-343, Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Vietnam, B1

chapter

Hierarchical dirichlet process for tracking complex topical structure evolution and its application to autism research literature

A Beykikhoshk, O Arandjelovic, S Venkatesh, Q Phung

(2015), pp. 550-562, Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Vietnam, B1

chapter

Bayesian nonparametric approaches to abnormality detection in video surveillance

T Nguyen, Q Phung, D Pham, Venkatesh

(2015), Vol. 2, pp. 21-41, Annals of data science, Berlin, Germany, C1

journal

Topic model kernel classification with probabilistically reduced features

T Nguyen, D Phung, S Venkatesh

(2015), Vol. 13, pp. 323-340, Journal of data science, New York, N.Y., C1

journal

Prediciton of emergency events: a multi-task multi-label learning approach

B Saha, S Gupta, S Venkatesh

(2015), Vol. 9077, pp. 226-238, 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, Vietnam, B1

chapter

Overcoming data scarcity of Twitter: using tweets as bootstrap with application to autism-related topic content analysis

A Beykikhoshk, O Arandjelovic, D Phung, S Venkatesh

(2015), pp. 1354-1361, ASONAM 2015: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Paris, France, E1

conference

Two maximum entropy-based algorithms for running quantile estimation in nonstationary data streams

O Arandjelovic, D Pham, S Venkatesh

(2015), Vol. 25, pp. 1469-1479, IEEE transactions on circuits and systems for video technology, Piscataway, N.J., C1

journal

Improved risk predictions via sparse imputation of patient conditions in electronic medical records

B Saha, S Gupta, S Venkatesh

(2015), pp. 1-10, DSAA 2015: IEEE International Conference on Data Science and Advanced Analytics, Paris, France, E1

conference

Differentiating sub-groups of online depression-related communities using textual cues

T Nguyen, B O Dea, M Larsen, Q Phung, S Venkatesh, H Christensen

(2015), Vol. 9419, pp. 216-224, Web Information Systems Engineering ? WISE 2015, New York, N.Y., B1

chapter

Groupwise registration of aerial images

O Arandjelovic, D Pham, S Venkatesh

(2015), pp. 2133-2139, IJCAI 2015: Proceedings of the 24th International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, E1

conference

The adaptable buffer algorithm for high quantile estimation in non-stationary data streams

O Arandjelovic, D Pham, S Venkatesh

(2015), pp. 1-7, IJCNN 2015: Proceedings of the International Joint Conference on Neural Networks, Killarney, Ireland, E1

conference

Stable feature selection with support vector machines

I Kamkar, S Gupta, Q Phung, S Venkatesh

(2015), Vol. 9457, pp. 298-308, AI 2015: Advances in artificial intelligence. 28th Australasian Joint Conference Canberra, ACT, Australia, November 30 - December 4, 2015 Proceedings, Berlin, Germany, B1

chapter

Understanding toxicities and complications of cancer treatment: a data mining approach

D Nguyen, W Luo, S Venkatesh, Q Phung

(2015), Vol. 9457, pp. 431-443, AI 2015: Advances in artificial intelligence. 28th Australasian Joint Conference Canberra, ACT, Australia, November 30 - December 4, 2015 Proceedings, Berlin, Germany, B1

chapter

Learning entry profiles of children with autism from multivariate treatment information using restricted boltzmann machines

P Vellanki, Q Phung, T Duong, S Venkatesh

(2015), Vol. 9441, pp. 245-257, Trends and applications in knowledge discovery and data mining: PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH Ho Chi Minh City, Vietnam, May 19?21, 2015 Revised Selected Papers, Berlin, Germany, B1

chapter

Differentially private random forest with high utility

S Rana, S Gupta, S Venkatesh

(2015), pp. 955-960, ICDM 2015: Proceedings of the 15th IEEE International Conference on Data Mining, Atlantic City, New Jersey, E1

conference

Nonparametric discovery of online mental health-related communities

D Dao, T Nguyen, S Venkatesh, Q Phung

(2015), pp. 1-10, DSAA 2015: Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, Paris, France, E1

conference

Exploiting feature relationships towards stable feature selection

I Kamkar, S Gupta, Q Phung, S Venkatesh

(2015), pp. 1-10, DSAA 2015: IEEE International Conference on Data Science and Advanced Analytics, Paris, France, E1

conference

What shall i share and with whom? A multi-task learning formulation using multi-faceted task relationships

S Gupta, S Rana, Q Phung, S Venkatesh

(2015), pp. 703-711, SDM 2015: Proceedings of the 15th SIAM International Conference on Data Mining, Vancouver, British Columbia, E1

conference

Multi-view subspace clustering for face images

X Zhang, Q Phung, S Venkatesh, D Pham, W Liu

(2015), pp. 1-8, DICTA 2015: Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, Adelaide, S. Aust., E1

conference

Learning multi-faceted activities from heterogeneous data with the product space hierarchical Dirichlet processes

T Nguyen, V Nguyen, S Venkatesh, D Phung

(2015), Vol. 9794, pp. 128-140, Trends and Applications in Knowledge Discovery and Data Mining, Berlin, Germany, B1

chapter
2014

Social reader: towards browsing the social web

B Adams, D Phung, S Venkatesh

(2014), Vol. 69, pp. 951-990, Multimedia tools and applications, Secaucus, NJ, C1

journal

Mood sensing from social media texts and its applications

T Nguyen, Q Phung, B Adams, S Venkatesh

(2014), Vol. 39, pp. 667-702, Knowledge and information systems, Berlin, Germany, C1

journal

Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

T Tran, W Luo, D Phung, R Harvey, M Berk, R Kennedy, S Venkatesh

(2014), Vol. 14, pp. 1-9, BMC psychiatry, London, Eng., C1

journal

Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry

S Gupta, T Tran, W Luo, D Phung, R Kennedy, A Broad, D Campbell, D Kipp, M Singh, M Khasraw, L Matheson, D Ashley, S Venkatesh

(2014), Vol. 4, pp. 1-7, BMJ open, London, England, C1

journal

Predicting unplanned readmission after myocardial infarction from routinely collected administrative hospital data

S Rana, T Tran, W Luo, D Phung, R Kennedy, S Venkatesh

(2014), Vol. 38, pp. 377-382, Australian health review, Melbourne, Vic., C1

journal

Fixed-lag particle filter for continuous context discovery using Indian Buffet Process

C Nguyen, S Gupta, S Venkatesh, Dinh Phung

(2014), pp. 20-28, PerCom 2014 : proceedings of the IEEE Pervasive Computing and Communications 2014 international conference, Budapest, Hungary, E1

conference

Learning latent activities from social signals with hierarchical dirichlet processes

D Phung, T Nguyen, S Gupta, S Venkatesh

(2014), pp. 149-174, Plan, activity, and intent recognition : theory and practice, Boston, Mass., B1

chapter

Affective and content analysis of online depression communities

T Nguyen, D Phung, B Dao, S Venkatesh, M Berk

(2014), Vol. 5, pp. 217-226, IEEE Transactions on Affective Computing, Piscataway, N.J, C1

journal

Intervention-driven predictive framework for modeling healthcare data

S Rana, S Gupta, D Phung, S Venkatesh

(2014), Vol. 8443 Part 1, pp. 497-508, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1

chapter

Stream quantiles via maximal entropy histograms

O Arandjelovi?, D Pham, S Venkatesh

(2014), Vol. 8835, pp. 327-334, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1

chapter

Data-mining twitter and the autism spectrum disorder: a pilot study

A Beykikhoshk, O Arandjelovi?, D Phung, S Venkatesh, T Caelli

(2014), pp. 349-356, ASONAM 2014 : Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Beijing, China, E1

conference

Tree-based iterated local search for Markov random fields with applications in image analysis

T Tran, D Phung, S Venkatesh

(2014), Vol. 21, pp. 25-45, Journal of heuristics, Berlin, Germany, C1

journal

iPoll: Automatic polling using online search

T Nguyen, D Phung, W Luo, T Tran, S Venkatesh

(2014), Vol. 8786, pp. 266-275, Web Information Systems Engineering ? WISE 2014, Berlin, Germany, B1

chapter

Effect of mood, social connectivity and age in online depression community via topic and linguistic analysis

B Dao, T Nguyen, D Phung, S Venkatesh

(2014), Vol. 8786, pp. 398-407, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1

chapter

Affective, linguistic and topic patterns in online autism communities

T Nguyen, T Duong, D Phung, S Venkatesh

(2014), Vol. 8787, pp. 474-488, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1

chapter

Modelling multilevel data in multimedia : A hierarchical factor analysis approach

S Gupta, D Phung, S Venkatesh

(2014), pp. 1-23, Multimedia Tools and Applications, New York, New York, C1

journal

Bayesian nonparametric multilevel clustering with group-level contexts

V Nguyen, D Phung, X Nguyen, S Venkatesh, H Bui

(2014), Vol. 32, pp. 288-269, ICML 2014 : Proceedings of the 31st International Conference on Machine Learning, Beijing, China, E1

conference

A bayesian nonparametric framework for activity recognition using accelerometer data

T Nguyen, S Gupta, S Venkatesh, D Phung

(2014), pp. 2017-2022, ICPR 2014 : Proceedings of the 22nd International Conference on Pattern Recognition, Stockholm, Sweden, E1

conference

Nonparametric discovery of learning patterns and autism subgroups from therapeutic data

P Vellanki, T Duong, S Venkatesh, D Phung

(2014), pp. 1828-1833, ICPR 2014 : Proceedings of the 22nd International Conference on Pattern Recognition, Stockholm, Sweden, E1

conference

Regularizing topic discovery in emrs with side information by using hierarchical bayesian models

C Li, S Rana, D Phung, S Venkatesh

(2014), pp. 1307-1312, ICPR 2014 : Proceedings of the 22nd International Conference on Pattern Recognition, Stockholm, Sweden, E1

conference

A framework for feature extraction from hospital medical data with applications in risk prediction

T Truyen, W Luo, P Dinh, S Gupta, S Rana, R Kennedy, A Larkins, S Venkatesh

(2014), Vol. 15, pp. 1-9, BMC Bioinformatics, London, Eng., C1

journal

Analysis of circadian rhythms from online communities of individuals with affective disorders

B Dao, T Nguyen, S Venkatesh, D Phung

(2014), pp. 463-469, DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics, Shanghai, China, E1

conference

Individualized arrhythmia detection with ECG signals from wearable devices

B Nguyen, W Lou, T Caelli, S Venkatesh, D Phung

(2014), pp. 570-576, DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics, Shanghai, China, E1

conference

Unsupervised inference of significant locations from WiFi data for understanding human dynamics

T Nguyen, T Nguyen, W Luo, Venkatesh, Q Phung

(2014), pp. 232-235, MUM 2014 : Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, Melbourne, Victoria, E1-1

conference

Speed up health research through topic modeling of coded clinical data

W Luo, Q Phung, T Nguyen, T Tran, S Venkatesh

(2014), pp. 1-4, IAPR 2014 : Proceedings of 2nd International Workshop on Pattern Recognition for Healthcare Analytics, Stockholm, Sweden, E1-1

conference

Keeping up with innovation: a predictive framework for modeling healthcare data with evolving clinical interventions

S Gupta, S Rana, Q Phung, S Venkatesh

(2014), pp. 235-243, SDM 2014: Proceedings of the 14th SIAM International Conference on Data Mining 2014, Philadelphia, Pennsylvania, E1-1

conference

A matrix factorization framework for jointly analyzing multiple nonnegative data sources

S Gupta, Q Phung, B Adams, S Venkatesh

(2014), Vol. 3, pp. 151-170, Data mining for service, Berlin, Germany, B1-1

chapter

Stabilizing sparse Cox model using clinical structures in electronic medical records

T Tran, S Gopakumar, Q Phung, S Venkatesh

(2014), pp. 1-4, IAPR 2014: Proceedings of 2nd International Workshop on Pattern Recognition for Healthcare Analytics, Stockholm, Sweden, E1-1

conference
2013

Regularized nonnegative shared subspace learning

S Gupta, D Phung, B Adams, S Venkatesh

(2013), Vol. 26, pp. 57-97, Data mining and knowledge discovery, Boston, Mass., C1-1

journal

Event extraction using behaviors of sentiment signals and burst structure in social media

T Nguyen, D Phung, B Adams, S Venkatesh

(2013), Vol. 37, pp. 279-304, Knowledge and information systems, London, England, C1

journal

Sparse subspace clustering via group sparse coding

B Saha, D Pham, D Phung, S Venkatesh

(2013), pp. 130-138, SDM 2013 : Proceedings of the thirteenth SIAM International Conference on Data Mining, Austin, Texas, E1

conference

Clustering patient medical records via sparse subspace representation

B Saha, D Pham, D Phung, S Venkatesh

(2013), pp. 123-134, PAKDD 2013 : Advances in knowledge discovery and data mining : 17th Pacific-Asia Conference, Gold Coast, Australia, April 14-17, 2013 : proceedings, Gold Coast, Queensland, E1

conference

Latent patient profile modelling and applications with mixed-variate restricted Boltzmann machine

T Nguyen, T Tran, D Phung, S Venkatesh

(2013), pp. 123-135, PAKDD 2013 : Advances in knowledge discovery and data mining : 17th Pacific-Asia Conference, Gold Coast, Australia, April 14-17, 2013 : proceedings, Gold Coast, Queensland, E1

conference

Split-merge augmented Gibbs sampling for hierarchical dirichlet processes

S Rana, D Phung, S Venkatesh

(2013), pp. 546-557, PAKDD 2013 : Advances in knowledge discovery and data mining : 17th Pacific-Asia Conference, Gold Coast, Australia, April 14-17, 2013 : proceedings, Gold Coast, Queensland, E1

conference

TOBY : Early intervention in autism through technology

S Venkatesh, D Phung, T Duong, S Greenhill, B Adams

(2013), pp. 3187-3196, CHI 2013 : Changing perspectives : Proceedings of the 31st Annual Conference on Human Factors in Computing Systems, Paris, France, E1

conference

Compressive speech enhancement

S Low, D Pham, S Venkatesh

(2013), Vol. 55, pp. 757-768, Speech communication, Amsterdam, The Netherlands, C1

journal

A novel information theoretic approach to wavelet feature selection for texture classification

I Naseem, D Pham, S Venkatesh

(2013), Vol. 39, pp. 319-325, Computers & electrical engineering, Amsterdam, The Netherlands, C1

journal

Exploiting side information in distance dependent Chinese restaurant processes for data clustering

C Li, D Phung, S Rana, S Venkatesh

(2013), pp. 1-6, ICME 2013 : Proceedings of the 14th IEEE International Conference on Multimedia and Expo, San Jose, California, E1

conference

Analysis of psycholinguistic processes and topics in online autism communities

T Nguyen, D Phung, S Venkatesh

(2013), pp. 1-6, ICME 2013 : Proceedings of the 14th IEEE International Conference on Multimedia and Expo, San Jose, California, E1

conference

Learning sparse latent representation and distance metric for image retrieval

T Nguyen, T Truyen, D Phung, S Venkatesh

(2013), pp. 1-6, ICME 2013 : Proceedings of the 14th IEEE International Conference on Multimedia and Expo, San Jose, California, E1

conference

Online social capital : mood, topical and psycholinguistic analysis

T Nguyen, B Dao, D Phung, S Venkatesh, M Berk

(2013), pp. 449-456, ICWSM 2013 : Proceedings of the 7th AAAI International Conference on Weblogs and Social Media, Cambridge, Massachusetts, E1

conference

Interactive browsing system for anomaly video surveillance

T Nguyen, D Phung, S Gupta, S Venkatesh

(2013), pp. 384-389, ISSNIP 2013 : Sensing the future : Proceedings of the IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Melbourne, Victoria, E1

conference

Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes

T Nguyen, D Phung, S Gupta, S Venkatesh

(2013), pp. 47-55, PerCom 2013 : Proceedings of the 11th IEEE International Conference on Pervasive Computing and Commmunications, San Diego, California, E1

conference

Connectivity, online social capital, and mood : a Bayesian nonparametric analysis

D Phung, S Gupta, T Nguyen, S Venkatesh

(2013), Vol. 15, pp. 1316-1325, IEEE transactions on multimedia, Piscataway, N.J., C1

journal

Efficient algorithms for robust recovery of images from compressed data

D Pham, S Venkatesh

(2013), Vol. 22, pp. 4724-4737, IEEE transactions on image processing, Piscataway, N.J., C1

journal

Topic model kernel : an empirical study towards probabilistically reduced features for classification

T Nguyen, D Phung, S Venkatesh

(2013), pp. 124-131, ICONIP 2013 : Neural information processing : 20th International Conference, Daegu, Korea, November 3-7, 2013. Proceedings, Daegu, Korea, E1

conference

Thurstonian Boltzmann machines: learning from multiple inequalities

T Tran, D Phung, S Venkatesh

(2013), Vol. 28, pp. 46-54, ICML 2013 : Proceedings of the Machine Learning 2013 International Conference, Atlanta, Ga., E1-1

conference

Factorial multi-task learning : a Bayesian nonparametric approach

S Gupta, Q Phung, S Venkatesh

(2013), pp. 1694-1702, ICML 2013 : Proceedings of the Machine Learning 2013 International Conference, Atlanta, Ga., E1-1

conference

An integrated framework for suicide risk prediction

T Tran, Q Phung, W Luo, R Harvey, M Berk, S Venkatesh

(2013), pp. 1410-1418, KDD'13: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, Chicago, Ill., E1-1

conference

Learning parts-based representations with nonnegative restricted boltzmann machine

T Nguyen, T Tran, Q Phung, S Venkatesh

(2013), Vol. 29, pp. 133-148, ACML 2013 : Proceedings of the 5th Asian Conference on Machine Learning, Canberra, Australia, E1-1

conference
2012

Improved image recovery from compressed data contaminated with impulsive noise

D Pham, S Venkatesh

(2012), Vol. 21, pp. 397-405, IEEE transactions on image processing, Piscataway, N. J, C1-1

journal

Detection of cross-channel anomalies

D Pham, B Saha, D Phung, S Venkatesh

(2012), Vol. 35, pp. 33-59, Knowledge and Information Systems, Berlin, Germany, C1

journal

A spectral slit approach to doubletalk detection

S Low, S Venkatesh, S Nordholm

(2012), Vol. 20, pp. 1074-1080, IEEE Transactions on Audio Speech and Language Processing, Piscataway, N.J., C1-1

journal

A bayesian nonparametric joint factor model for learning shared and individual subspaces from multiple data sources

S Gupta, D Phung, S Venkatesh

(2012), pp. 200-212, SDM 2012 : Proceedings of the 12th SIAM International Conference on Data Mining, Anaheim, Calif., E1

conference

Improved subspace clustering via exploitation of spatial constraints

D Pham, B Saha, D Phung, S Venkatesh

(2012), pp. 550-557, CVPR 2012 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Providence, R. I., E1

conference

Towards a video browser for the digital native

B Adams, S Greenhill, S Venkatesh

(2012), pp. 127-132, ICMEW 2012 : Proceedings of the 13th IEEE International Conference on Multimedia and Expo Workshops, Melbourne, Vic., E1

conference

Learning Boltzmann distance metric for face recognition

T Tran, D Phung, S Venkatesh

(2012), pp. 218-223, ICME 2012 : Proceedings of the 13th IEEE International Conference on Multimedia and Expo, Melbourne, Victoria, E1

conference

Embedded restricted Boltzmann machines for fusion of mixed data types and applications in social measurements analysis

T Tran, D Phung, S Venkatesh

(2012), pp. 1814-1821, FUSION 2012 : Proceedings of the 15th International Conference on Information Fusion, Singapore, E1

conference

Pervasive multimedia for autism intervention

S Venkatesh, S Greenhill, D Phung, B Adams, T Duong

(2012), Vol. 8, pp. 863-882, Pervasive and mobile computing, Amsterdam, The Netherlands, C1

journal

Anomaly detection in large-scale data stream networks

D Pham, S Venkatesh, M Lazarescu, S Budhaditya

(2012), pp. 1-45, Data mining and knowledge discovery, New York, N.Y., C1

journal

Sparse subspace representation for spectral document clustering

B Saha, D Phung, D Pham, S Venkatesh

(2012), pp. 1092-1097, ICDM 2012 : Proceedings of the 12th IEEE International Conference on Data Mining, Brussels, Belgium, E1

conference

Large-scale statistical modeling of motion patterns : a Bayesian nonparametric approach

S Rana, D Phung, S Pham, S Venkatesh

(2012), pp. 1-8, ICVGIP 2012 : Proceedings of the 8th Indian Conference on Computer Vision, Graphics and Image Processing, Mumbai, India, E1

conference

A sequential decision approach to ordinal preferences in recommender systems

T Tran, D Phung, S Venkatesh

(2012), pp. 676-682, AAAI 2012 : Proceedings of the 26th National Conference on Artificial Intelligence, Toronto, Ont., E1

conference

Cumulative restricted Boltzmann machines for ordinal matrix data analysis

T Tran, D Phung, S Venkatesh

(2012), pp. 411-426, ACML 2012 : Proceedings of the 4th Asian Conference on Machine Learning, Singapore, E1

conference

Learning from ordered sets and applications in collaborative ranking

T Tran, D Phung, S Venkatesh

(2012), pp. 427-442, ACML 2012 : Proceedings of the 4th Asian Conference on Machine Learning, Singapore, E1

conference

A nonparametric Bayesian Poisson Gamma model for count data

S Gupta, D Phung, S Venkatesh

(2012), pp. 1815-1818, ICPR 2012 : Proceedings of 21st International Conference on Pattern Recognition, Tsubuka Science City, Japan, E1

conference

Multi-modal abnormality detection in video with unknown data segmentation

T Nguyen, D Phung, S Rana, D Pham, S Venkatesh

(2012), pp. 1322-1325, ICPR 2012 : Proceedings of 21st International Conference on Pattern Recognition, Tsubuka Science City, Japan, E1

conference

Optimal metric selection for improved multi-pose face recognition with group information

X Zhang, D Pham, W Liu, S Venkatesh

(2012), pp. 1675-1678, ICPR 2012 : Proceedings of 21st International Conference on Pattern Recognition, Tsubuka Science City, Japan, E1

conference

A sentiment-aware approach to community formation in social media

T Nguyen, D Phung, B Adams, S Venkatesh

(2012), pp. 527-530, ICWSM 2012 : Proceedings of the Sixth International Conference on Weblogs and Social Media, Dublin, Ireland, E1

conference

A slice sampler for restricted hierarchical beta process with applications to shared subspace learning

S Gupta, D Phung, S Venkatesh

(2012), pp. 316-325, UAI 2012 : Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, Catalina Island, California, E1

conference

An innovative face image enhancement based on principle component analysis

X Xu, W Liu, S Venkatesh

(2012), Vol. 3, pp. 259-267, International journal of machine learning and cybernetics, Berlin, Germany, C1-1

journal
2011

Innovative sparse representation algorithms for robust face recognition

H Qiu, D Pham, S Venkatesh, J Lai, W Liu

(2011), Vol. 7, pp. 5645-5667, International journal of innovative computing, information & control, [Kumamoto, Japan], C1-1

journal

Unified formulation of linear discriminant analysis methods and optimal parameter selection

S An, W Liu, S Venkatesh, H Yan

(2011), Vol. 44, pp. 307-319, Pattern recognition, Oxford, England, C1-1

journal

Efficient subwindow search with submodular score functions

S An, P Peursum, W Liu, S Venkatesh

(2011), pp. 1409-1416, CVPR 2011 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Colorado Springs, Colo., E1-1

conference

Networking of Multimedia Women Event : beyond epsilon science - 'where to look and how to realize new opportunities'

K Nahrstedt, S Venkatesh, N Venkatasubramanian, D Ponceleon, M Zemankova, S Boll

(2011), pp. 589-592, MM'11 : Proceedings of the 19th ACM Multimedia Conference and Co-Located Workshops, Scottsdale, Ariz., E1-1

conference

Cognitive intervention in autism using multimedia stimulus

S Venkatesh, S Greenhill, D Phung, B Adams

(2011), pp. 769-770, MM'11 : Proceedings of the 19th ACM Multimedia Conference and Co-Located Workshops, Scottsdale, Ariz., E1-1

conference

Eventscapes : visualizing events over time with emotive facets

B Adams, D Phung, S Venkatesh

(2011), pp. 1477-1480, MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops, Scottsdale, AZ, E1-1

conference

A context-sensitive device to help people with autism cope with anxiety

M Mohammedali, B Adams, D Phung, S Venkatesh

(2011), pp. 1201-1206, CHI EA 2011 : Proceedings of the 29th Conference on Human Factors in Computing Systems 2011, Vancouver, British Columbia, E1-1

conference

Supervised subspace learning with multi-class Lagrangian SVM on the Grassmann manifold

D Pham, S Venkatesh

(2011), pp. 241-250, AI 2011 : Advances in Artificial Intelligence : 24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011 : proceedings, Perth, Western Australia, E1-1

conference

Prediction of age, sentiment, and connectivity from social media text

T Nguyen, D Phung, B Adams, S Venkatesh

(2011), pp. 227-240, WISE 2011 : Web Information Systems Engineering : 12th International Conference, Sydney, Australia, October 13-14 2011 : proceedings, Sydney, New South Wales, E1-1

conference

A Bayesian framework for learning shared and individual subspaces from multiple data sources

S Gupta, D Phung, B Adams, S Venkatesh

(2011), pp. 136-147, PAKDD 2011 : Advances in knowledge discovery and data mining : 15th Pacific-Asia Conference, Shenzhen, China, May 24-27, 2011, proceedings, part II, Shenzhen, China, E1-1

conference

Mixed-variate restricted Boltzmann machines

T Tran, D Phung, S Venkatesh

(2011), pp. 213-229, ACML 2011 : Proceedings of the 3rd Asian Conference on Machine Learning, Taoyuan, Taiwan, E1-1

conference

Probabilistic models over ordered partitions with applications in document ranking and collaborative filtering

T Truyen, D Phung, S Venkatesh

(2011), pp. 426-437, SDM 2011 : Proceedings of the 11th SIAM International Conference on Data Mining, Mesa, Ariz., E1-1

conference

Towards discovery of influence and personality traits through social link prediction

T Nguyen, D Phung, B Adams, S Venkatesh

(2011), pp. 566-569, ICWSM-11 : Proceedings of the 5th AAAI International Conference on Weblogs and Social Media, Barcelona, Spain, E1-1

conference

A matrix factorization framework for jointly analyzing multiple nonnegative data sources

S Gupta, D Phung, B Adams, S Venkatesh

(2011), pp. 6-15, Proceedings of the 9th Workshop on Text Mining, in conjunction with the 11th SIAM International Conference on Data Mining, Mesa, Ariz., E1-1

conference

Detection of cross-channel anomalies from multiple data channels

D Pham, B Saha, D Phung, S Venkatesh

(2011), pp. 527-536, ICDM 2011 : Proceedings of the IEEE International Conference on Data Mining, Vancouver, B. C., E1-1

conference

Emotional reactions to real-world events in social networks

T Nguyen, D Phung, B Adams, S Venkatesh

(2011), pp. 53-64, New Frontiers in Applied Data Mining : Proceedings of the PAKDD 2011 International Workshops, Shenzhen, China, E1-1

conference
2010

A study on smoothing for particle-filtered 3D human body tracking

P Peursum, S Venkatesh, G West

(2010), Vol. 87, pp. 53-74, International journal of computer vision, New York, N. Y., C1-1

journal

Bayesian minimax estimation of the normal model with incomplete prior covariance matrix specification

D Pham, H Bui, S Venkatesh

(2010), Vol. 56, pp. 6433-6449, IEEE transactions on information theory, Piscataway, N.J., C1-1

journal

Discovery of latent subcommunities in a blog's readership

B Adams, D Phung, S Venkatesh

(2010), Vol. 4, pp. 1-30, ACM transactions on the web, New York, N. Y., C1-1

journal

Multi-class pattern classification in imbalanced data

A Ghanem, S Venkatesh, G West

(2010), pp. 2881-2884, ICPR 2010 : Proceedings : 20th International Conference on Pattern Recognition, Istanbul, Turkey, E1-1

conference

Nonnegative shared subspace learning and its application to social media retrieval

S Gupta, D Phung, B Adams, T Tran, S Venkatesh

(2010), pp. 1169-1178, KDD 2010 : Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, D. C., E1-1

conference

Hyper-community detection in the blogosphere

T Nguyen, D Phung, B Adams, T Tran, S Venkatesh

(2010), pp. 21-26, WSM 2010 : Proceedings of the 2nd ACM SIGMM Workshop on Social Media, Firenze, Italy, E1-1

conference

A unified 2D-3D video scene change detection framework for mobile camera platforms

W Leoputra, T Tan, S Venkatesh

(2010), pp. 2147-2153, ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and Vision, Singapore, Singapore, E1-1

conference

Exploiting monge structures in optimum subwindow search

S An, P Peursum, W Liu, S Venkatesh, X Chen

(2010), pp. 926-933, CVPR 2010 :Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, Calif., E1-1

conference

Augmenting trust establishment in dynamic systems with social networks

B Lagesse, M Kumar, S Venkatesh, M Lazarescu

(2010), pp. 1-4, CSIIRW10 : Cyber Security and Information Intelligence Challenges and Strategies, ACM International Conference Proceeding Series, Oak Ridge, Tennessee, E1-1

conference

Interactively browsing movies in terms of action, foreshadowing and resolution

S Greenhill, B Adams, S Venkatesh

(2010), pp. 197-200, JCDL 2010 : Proceedings of the 2010 ACM/IEEE International Joint Conference on Digital Libraries : Vision 2020 - Beyond Digital Libraries, Surfers Paradise, Qld., E1-1

conference

A fast extension for sparse representation on robust face recognition

H Qiu, D Pham, S Venkatesh, W Liu, J Lai

(2010), pp. 1023-1027, ICPR 2010 : Proceedings : 20th International Conference on Pattern Recognition, Istanbul, Turkey, E1-1

conference

Classification and pattern discovery of mood in weblogs

T Nguyen, D Phung, B Adams, T Tran, S Venkatesh

(2010), pp. 283-290, PAKDD 2010 : Advances in knowledge discovery and data mining : 14th Pacific-Asia Conference, Hydrabad, India, E1-1

conference

A Smartphone-based obstacle sensor for the visually impaired

E Peng, P Peursum, L Li, S Venkatesh

(2010), pp. 590-604, UIC 2010 : Ubiquitous intelligence and computing : 7th International Conference, Xi'an, China, October 26-29, 2010 : proceedings, Xi'an, China, E1-1

conference

Portable form filling assistant for the visually impaired

E Peng, P Peursum, L Li, S Venkatesh

(2010), pp. 269-277, HCI 2010 : Proceedings of the 24th BCS Conference on Human Computer Interaction : Play is a serious business, Dundee, U. K., E1-1

conference
2009

A unified tensor framework for face recognition

S Rana, W Liu, M Lazarescu, S Venkatesh

(2009), Vol. 42, pp. 2850-2862, Pattern recognition, Oxford, England, C1-1

journal

Dynamic privacy in public surveillance

S Moncrieff, S Venkatesh, G West

(2009), Vol. 42, pp. 22-28, Computer, Piscataway, N.J., C1-1

journal

Efficient duration and hierarchical modeling for human activity recognition

T Duong, D Phung, H Bui, S Venkatesh

(2009), Vol. 173, pp. 830-856, Artificial intelligence, Amsterdam, Netherlands, C1-1

journal

Unsupervised context detection using wireless signals

D Phung, B Adams, S Venkatesh, M Kumar

(2009), Vol. 5, pp. 714-733, Pervasive and mobile computing, Amsterdam, Netherlands, C1-1

journal

Ordinal Boltzmann machines for collaborative filtering

T Truyen, D Phung, S Venkatesh

(2009), pp. 548-556, UAI 2009 : Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, Montreal, Quebec, E1-1

conference

Comparative evaluation of pedestrian detection methods for mobile bus surveillance

W Leoputra, S Venkatesh, T Tan

(2009), pp. 3525-3528, ICASSP 2009 : Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, Taiwan, E1-1

conference

Social reader : following social networks in the wilds of the blogosphere

B Adams, D Phung, S Venkatesh

(2009), pp. 73-80, WSM'09 : Proceedings of the 1st ACM SIGMM International Workshop on Social Media, Beijing, China, E1-1

conference

Flickr hypergroups

R Negoescu, B Adams, D Phung, S Venkatesh, D Gatica-Perez

(2009), pp. 813-816, MM'09 : Proceedings of the 17th ACM Multimedia Conference, Beijing, China, E1-1

conference

Distributed audio network for speech enhancement in challenging noise backgrounds

T Kuhnapfel, T Tan, S Venkatesh, B Igel

(2009), pp. 308-313, AVSS 2009 : Proceedings of the 6th IEEE International Conference on Advanced Video and Signal Based Surveillance, Genoa, Italy, E1-1

conference

Efficient algorithms for subwindow search in object detection and localization

S An, P Peursum, W Liu, S Venkatesh

(2009), pp. 264-271, CVPR 2009 : Proceeding of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Miami, Fla., E1-1

conference

A framework for the design of privacy preserving pervasive healthcare

S Moncrieff, S Venkatesh, G West

(2009), pp. 1696-1699, ICME 2009 : Proceedings of the IEEE International Conference on Multimedia and Expo, New York, N. Y., E1-1

conference

Effective anomaly detection in sensor networks data streams

B Saha, D Pham, M Lazarescu, S Venkatesh

(2009), pp. 722-727, ICDM 2009 : Proceedings of the 9th IEEE International Conference on Data Mining, Miami, Fla., E1-1

conference

High accuracy context recovery using clustering mechanisms

D Phung, B Adams, K Tran, S Venkatesh, M Kumar

(2009), pp. 2-9, PerCom 2009 : Proceedings of the 7th Annual IEEE International Conference on Pervasive Computing and Communications, Galveston, Tex., E1-1

conference

Classifying multiple imbalanced attributes in relational data

A Ghanem, S Venkatesh, G West

(2009), pp. 220-229, AI 2009 : advances in artificial intelligence, Berlin, Germany, B1-1

chapter

Automatic fitting of a deformable face mask using a single image

A Kuhl, T Tan, S Venkatesh

(2009), pp. 69-81, Computer vision : computer graphics collaboration techniques, Berlin, Germany, B1-1

chapter

A model-based approach for combined tracking and resolution enhancement of faces in low resolution video

A Kuhl, T Tan, S Venkatesh

(2009), pp. 173-194, State of the art in face recognition, Vienna, Austria, B1-1

chapter
2008

Dynamic privacy assessment in a smart house environment using multimodal sensing

S Moncrieff, S Venkatesh, G West

(2008), Vol. 5, pp. 1-29, ACM transactions on multimedia computing communications and applications, New York, N. Y., C1-1

journal

Recognising online spatial activities using a bioinformatics inspired sequence alignment approach

D Riedel, S Venkatesh, W Liu

(2008), Vol. 41, pp. 3481-3492, Pattern recognition, Oxford, England, C1-1

journal

Sensing and using social context

B Adams, D Phung, S Venkatesh

(2008), Vol. 5, pp. 1-27, ACM transactions on multimedia computing communications and applications, New York, N. Y., C1-1

journal

Using dynamic time warping for online temporal fusion in multisensor systems

M Ko, G West, S Venkatesh, M Kumar

(2008), Vol. 9, pp. 370-388, Information fusion, Amsterdam, Netherlands, C1-1

journal

Model-based character recognition in low resolution

A Kuhl, T Tan, S Venkatesh

(2008), pp. 1001-1004, ICIP 2008 : Proceedings of the International Conference on Image Processing, San Diego, Calif., E1-1

conference

Temporal semantic compression for video browsing

B Adams, S Greenhill, S Venkatesh

(2008), pp. 293-296, IUI'08 : Proceedings of the 13th International Conference on Intelligent User Interfaces, Maspalomas, Gran Canaria, E1-1

conference

The hidden permutation model and location-based activity recognition

H Bui, D Phung, S Venkatesh, H Phan

(2008), pp. 1345-1350, AAAI 2008 : Proceedings of the 23rd AAAI Conference on Artificial Intelligence, Chicago, Ill., E1-1

conference

Passenger monitoring in moving bus video

W Leoputra, S Venkatesh, T Tan

(2008), pp. 719-725, ICARCV 2008 : Proceedings of the 10th International Conference on Control, Automation, Robotics and Vision, Hanoi, Vietnam, E1-1

conference

Pedestrian detection for mobile bus surveillance

W Leoputra, S Venkatesh, T Tan

(2008), pp. 726-732, ICARCV 2008 : Proceedings of the 10th International Conference on Control, Automation, Robotics and Vision, Hanoi, Vietnam, E1-1

conference

Computable social patterns from sparse sensor data

D Phung, B Adams, S Venkatesh

(2008), pp. 69-72, LocWeb 2008 : Proceedings of the 1st International Workshop on Location and the web, Beijing, China, E1-1

conference

Exploiting side information in locality preserving projection

S An, W Liu, S Venkatesh

(2008), pp. 1-8, CVPR 2008 : Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, E1-1

conference

Joint learning and dictionary construction for pattern recognition

D Pham, S Venkatesh

(2008), pp. 1-8, CVPR 2008 : Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, E1-1

conference

Recognising faces in unseen modes : a tensor based approach

S Rana, W Liu, M Lazarescu, S Venkatesh

(2008), pp. 1-8, CVPR 2008 : Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, E1-1

conference

Robust learning of discriminative projection for multicategory classification on the Stiefel manifold

D Pham, S Venkatesh

(2008), pp. 1-7, CVPR 2008 : Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, E1-1

conference

Contextual navigation in a multimedia journal

S Greenhill, S Venkatesh

(2008), pp. 833-836, MM'08 : Proceedings of the 16th ACM International Conference on Multimedia, Vancouver, B. C., E1-1

conference

Adaptive speech enhancement with varying noise backgrounds

T Kuhnapfel, T Tan, S Venkatesh, S Nordholm, B Igel

(2008), pp. 1-4, ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, Tampa, Fla., E1-1

conference

Boosting performance for 2D linear discriminant analysis via regression

N Nguyen, W Liu, S Venkatesh

(2008), pp. 1-4, ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, Tampa, Fla., E1-1

conference

Context aware privacy in visual surveillance

S Moncrieff, S Venkatesh, G West

(2008), pp. 1-4, ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, Tampa, Fla., E1-1

conference

Efficient tensor based face recognition

S Rana, W Liu, M Lazarescu, S Venkatesh

(2008), pp. 1-4, ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, Tampa, Fla., E1-1

conference

Learning in imbalanced relational data

A Ghanem, S Venkatesh, G West

(2008), pp. 1-4, ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, Tampa, Fla., E1-1

conference

Model-based combined tracking and resolution enhancement

A Kuhl, T Tan, S Venkatesh

(2008), pp. 1-4, ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, Tampa, Fla., E1-1

conference

Ridge regression for two dimensional locality preserving projection

N Nguyen, W Liu, S Venkatesh

(2008), pp. 1-4, ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, Tampa, Fla., E1-1

conference

Constrained sequence classification for lexical disambiguation

T Truyen, D Phung, S Venkatesh

(2008), pp. 430-441, PRICAI 2008 : Trends in Artificial Intelligence : 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008, proceedings, Hanoi, Vietnam, E1-1

conference

Learning discriminative sequence models from partially labelled data for activity recognition

T Truyen, H Bui, D Phung, S Venkatesh

(2008), pp. 903-912, PRICAI 2008 : Trends in Artificial Intelligence : 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008, proceedings, Hanoi, Vietnam, E1-1

conference

Hierarchical semi-markov conditional random fields for recursive sequential data

T Truyen, D Phung, H Bui, S Venkatesh

(2008), pp. 1657-1664, NIPS 2008 : Advances in Neural Information Processing Systems 21 : Proceedings of the 2008 Conference, Vancouver, B. C., E1-1

conference

Indoor location prediction using multiple wireless received signal strengths

K Tran, D Phung, B Adams, S Venkatesh

(2008), pp. 187-192, AusDM 2008 : Proceedings of the 7th Australasian Data Mining Conference, Glenelg, S. Aust., E1-1

conference
2007

Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression

S An, W Liu, S Venkatesh

(2007), Vol. 40, pp. 2154-2162, Pattern recognition, Oxford, U. K., C1-1

journal

Film audio pace

S Moncrieff, S Venkatesh

(2007), Vol. 3, pp. 296-308, International journal of intelligent systems technologies and applications, Geneva, Switzerland, C1-1

journal

Multi-modal emotive computing in a smart house environment

S Moncrieff, S Venkatesh, G West, S Greenhill

(2007), Vol. 3, pp. 74-94, Pervasive and mobile computing, Amsterdam, Netherlands, C1-1

journal

Online audio background determination for complex audio environments

S Moncrieff, S Venkatesh, G West

(2007), Vol. 3, pp. 1-30, ACM transactions on multimedia computing communications and applications, New York, N. Y., C1-1

journal

Recognition of emergent human behaviour in a smart home : a data mining approach

S Luhr, G West, S Venkatesh

(2007), Vol. 3, pp. 95-116, Pervasive and mobile computing, Amsterdam, Netherlands, C1-1

journal

Threshold dynamic time warping for spatial activity recognition

D Riedel, S Venkatesh, W Liu

(2007), Vol. 3, pp. 392-405, International journal of information and systems sciences, Alberta, Canada, C1-1

journal

Video abstraction : a systematic review and classification

B Truong, S Venkatesh

(2007), Vol. 3, pp. 1-37, ACM transactions on multimedia computing communications and applications, New York, N.Y., C1-1

journal

Calibration of audio-video sensors for multi-modal event indexing

T Kuhnapfel, T Tan, S Venkatesh, E Lehmann

(2007), ICASSP 2007 : Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 2007, Honolulu, Hawaii, E1-1

conference

Face recognition using kernel ridge regression

S An, W Liu, S Venkatesh

(2007), CVPR 2007 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Minneapolis, Minn., E1-1

conference

Tracking-as-recognition for articulated full-body human motion analysis

P Peursum, S Venkatesh, G West

(2007), CVPR 2007 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, E1-1

conference

Dynamic privacy in a smart house environment

S Moncrieff, S Venkatesh, G West

(2007), pp. 2034-2037, ICME 2007 : Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, Beijing, China, E1-1

conference

Distributed query processing for mobile surveillance

S Greenhill, S Venkatesh

(2007), pp. 413-422, ACM Multimedia 2007 : proceedings of the 15th ACM International Conference on Multimedia, Augsburg, Germany, E1-1

conference

Privacy and the access of information in a smart house environment

S Moncrieff, S Venkatesh, G West

(2007), pp. 671-680, ACM Multimedia 2007 : proceedings of the 15th ACM International Conference on Multimedia, Augsburg, Germany, E1-1

conference

Towards the next plateau: Innovative multimedia research beyond TRECVID

T Chua, A Hanjalic, R Jain, W Ma, A Smeaton, J Smith, S Venkatesh

(2007), pp. 1054-1054, ACM Multimedia 2007 : proceedings of the 15th ACM International Conference on Multimedia, Augsburg, Germany, E1-1

conference

Infrequent item mining in multiple data streams

B Saha, M Lazarescu, S Venkatesh

(2007), pp. 569-574, Data Mining Workshops, 2007. ICDM Workshops 2007. Seventh IEEE International Conference on; ICDM 2007, Omaha, NE, E1-1

conference

Generating comprehensible summaries of rushes sequences based on robust feature matching

B Truong, S Venkatesh

(2007), pp. 30-34, TVS 2007 : Proceedings of the International workshop on TRECVID video summarization, Augsburg, Germany, E1-1

conference

Acquiring critical light points for illumination subspaces of face images by affinity propagation clustering

S An, W Liu, S Venkatesh

(2007), pp. 647-654, Advances in multimedia information processing ? PCM 2007, Berlin, Germany, B1-1

chapter

Random Subspace Two-Dimensional PCA for face recognition

N Nguyen, W Liu, S Venkatesh

(2007), pp. 655-664, Advances in multimedia information processing--PCM 2007 : 8th Pacific Rim Conference on Multimedia, Hong Kong, China, December 11-14, 2007 : proceedings, Berlin, Germany, B1-1

chapter

Linking identities and viewpoints in home movies based on robust feature matching

B Truong, S Venkatesh

(2007), pp. 636-648, MMM'07 : Advances in multimedia modeling : Proceedings of the 13th International Multimedia Modeling Conference, Singapore, Singapore, E1-1

conference

Preference Networks: probabilistic models for recommendation systems

T Tran, D Phung, S Venkatesh

(2007), pp. 195-202, AusDM 2007 : Proceedings of 6th Australasian Data Mining Conference., Gold Coast, N.S.W., E1-1

conference

Utility-based summarization of home videos

B Truong, S Venkatesh

(2007), pp. 505-516, MMM'07 : Advances in multimedia modeling : Proceedings of the 13th International Multimedia Modeling Conference, Singapore, Singapore, E1-1

conference

Face recognition via incremental 2DPCA

C Lu, W Liu, S Venkatesh, S An

(2007), IJCAI 2007 : Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, E1-1

conference

Face recognition via the overlapping energy histogram

R Tjahyadi, W Liu, S An, S Venkatesh

(2007), pp. 2891-2896, IJCAI 2007 : Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, E1-1

conference
2006

A chemotactic-based model for spatial activity recognition

D Riedel, S Venkatesh, W Liu

(2006), Vol. 37, pp. 949-959, International journal of systems science, Essex, U. K., C1-1

journal

A fast feature-based dimension reduction algorithm for kernel classifiers

S An, W Liu, S Venkatesh, R Tjahyadi

(2006), Vol. 24, pp. 137-151, Neural processing letters, Secaucus, N.J., C1-1

journal

Automatic parameters selection for eigenfaces

R Tjahyadi, W Liu, S Venkatesh

(2006), Vol. 2, pp. 277-288, Pacific journal of optimization, Yokohama, Japan, C1-1

journal

AdaBoost.MRF: Boosted Markov random forests and application to multilevel activity recognition

T Tran, Phung, H Bui, S Venkatesh

(2006), pp. 1686-1693, CVPR 2006 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, N.Y., E1-1

conference

A probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment

D Tran, D Phung, H Bui, S Venkatesh

(2006), pp. 168-172, ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, China, E1-1

conference

Efficient cross-validation of the complete two stages in KFD classifier formulation

S An, W Liu, S Venkatesh

(2006), pp. 240-244, ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, China, E1-1

conference

Human behavior recognition with generic exponential family duration modeling in the hidden semi-Markov model

T Duong, D Phung, H Bui, S Venkatesh

(2006), pp. 202-207, ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, China, E1-1

conference

Observation-switching linear dynamic systems for tracking humans through unexpected partial occlusions by scene objects

P Peursum, S Venkatesh, G West

(2006), pp. 929-934, ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, China, E1-1

conference

Unifying background models over complex audio using entropy

S Moncrieff, S Venkatesh, G West

(2006), pp. 249-253, ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, China, E1-1

conference

A smith-waterman local alignment approach for spatial activity recognition

D Riedel, S Venkatesh, W Liu

(2006), pp. 54-59, AVSS 2006 : Proceedings of the IEEE International Conference on Video and Signal Based Surveillance, Sydney, N. S. W., E1-1

conference

Browsing personal media archives with spatial context using panoramas

B Adams, S Greenhill, S Venkatesh

(2006), pp. 711-714, ACM-MM 2006 : Proceedings of the 14th Annual ACM International Conference on Multimedia, Santa Barbara, Calif., E1-1

conference

Extraction of social context and application to personal multimedia exploration

B Adams, D Phung, S Venkatesh

(2006), pp. 987-996, ACM-MM 2006 : Proceedings of the 14th Annual ACM International Conference on Multimedia, Santa Barbara, Calif., E1-1

conference

Virtual observers in a mobile surveillance system

S Greenhill, S Venkatesh

(2006), pp. 579-588, ACM-MM 2006 : Proceedings of the 14th Annual ACM International Conference on Multimedia, Santa Barbara, Calif., E1-1

conference

Narrative structure detection through audio pace

S Moncrieff, S Venkatesh

(2006), pp. 20-27, MMM 2006 : Proceedings of the 12th International Multi-Media Modelling Conference, Beijing, China, E1-1

conference

An embedded suggestive interface for making home videos

B Adams, S Venkatesh

(2006), pp. 2025-2028, ICME 2006 : Proceedings of the IEEE International Conference on Multimedia and Expo 2006, Toronto, Ontario, E1-1

conference

Recognising behaviours of multiple people with hierarchical probabilistic model and statistical data association

N Nguyen, S Venkatesh, H Bui

(2006), pp. 1239-1248, BMVC 2006 : Proceedings of the 17th British Machine Vision Conference, Edinburgh, Scotland, E1-1

conference

Curtin at TRECVID 2006 : shot boundary detection based and rushes summarization

B Truong, S Venkatesh

(2006), TRECVID?06 : Video retrieval workshop, Gaithersburg, Md., E1-1

conference
2005

A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures

B Adams, S Venkatesh, H Bui, C Dorai

(2005), Vol. 27, pp. 195-213, Multimedia tools and applications, Secaucus, N.J., C1-1

journal

Extraction of film takes for cinematic analysis

B Truong, S Venkatesh, C Dorai

(2005), Vol. 26, pp. 277-298, Multimedia tools and applications, Secaucus, N.J., C1-1

journal

IMCE : integrated media creation environment

B Adams, S Venkatesh, R Jain

(2005), Vol. 1, pp. 211-247, ACM transactions on multimedia computing communications and applications, New York, N. Y., C1-1

journal

Robust recognition and segmentation of human actions using HMMs with missing observations

P Peursum, H Bui, S Venkatesh, G West

(2005), Vol. 2005, pp. 2110-2126, EURASIP journal on applied signal processing, Heidelberg, Germany, C1-1

journal

Fast cross-validation of kernel fisher discriminant classifiers

S An, W Liu, S Venkatesh

(2005), pp. 22-27, ICMLA 2005 : Proceedings of the 4th International Conference on Machine Learning and Applications, Los Angeles, Calif., E1-1

conference

Combining image regions and human activity for indirect object recognition in indoor wide-angle views

P Peursum, G West, S Venkatesh

(2005), pp. 82-89, ICCV 2005 : Proceedings of the IEEE International Conference on Computer Vision, Beijing, China, E1-1

conference

A fast kernel dimension reduction algorithm with applications to face recognition

S An, W Liu, S Venkatesh, R Tjahyadi

(2005), pp. 3369-3376, ICMLC 2005 : Proceedings of the 4th International Conference on Machine Learning and Cybernetics, Guangzhou, China, E1-1

conference

Activity recognition and abnormality detection with the switching hidden semi-Markov model

T Duong, H Bui, D Phung, S Venkatesh

(2005), pp. 838-845, CVPR 2005 : Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, Calif., E1-1

conference

Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model

N Nguyen, D Phung, S Venkatesh, H Bui

(2005), pp. 955-960, CVPR 2005 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, Calif., E1-1

conference

A probabilistic approach to the anxious home for activity monitoring

G West, S Greenhill, S Venkatesh

(2005), pp. 335-340, COMPSAC 2005 : Proceedings of the 29th Annual International Computer Software and Applications Conference, Edinburgh, Scotland, E1-1

conference

Boosted Markov networks for activity recognition

Truyen Tran, Hung Bui, Svetha Venkatesh

(2005), nternational Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP2005), Australia, E1-1

conference

Emergent intertransaction association rules for abnormality detection in intelligent environments

S Luhr, S Venkatesh, G West

(2005), pp. 343-347, Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference, Melbourne, Vic., E1-1

conference

Face recognition based on ordinal correlation approach

R Tjahyadi, W Liu, S An, S Venkatesh

(2005), pp. 349-354, Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference, Melbourne, Vic., E1-1

conference

Factored state-abstract hidden Markov models for activity recognition using pervasive multi-modal sensors

D Tran, D Phung, H Bui, S Venkatesh

(2005), pp. 331-335, Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference, Melbourne, Vic., E1-1

conference

Incorporating contextual audio for an actively anxious smart home

S Moncrieff, S Venkatesh, G West, S Greenhill

(2005), pp. 373-378, Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference, Melbourne, Vic., E1-1

conference

Online context recognition in multisensor systems using Dynamic Time Warping

M Ko, G West, S Venkatesh, M Kumar

(2005), pp. 283-288, Proceedings of the 2005 intelligent sensors, sensor networks and information processing conference, Melbourne, Vic., E1-1

conference

Spatial activity recognition in a smart home environment using a chemotactic model

D Riedel, S Venkatesh, W Liu

(2005), pp. 301-306, Proceedings of the 2005 intelligent sensors, sensor networks and information processing conference, Melbourne, Vic., E1-1

conference

Finding the optimal temporal partitioning of video sequences

B Truong, S Venkatesh

(2005), pp. 1182-1185, ICME 2005 : Proceedings of the IEEE International Conference on Multimedia and Expo 2005, Amsterdam, The Netherland, E1-1

conference

Injection, detection and repair of aesthetics in home movies

B Adams, S Venkatesh

(2005), pp. 33-36, 2005 IEEE International Conference on Multimedia and Expo (ICME), Amsterdam, E1-1

conference

Persistent audio modelling for background determination

S Moncrieff, S Venkatesh, G West

(2005), pp. 41-44, ICME 2005 : Proceedings of the IEEE International Conference on Multimedia and Expo 2005, Amsterdam, The Netherlands, E1-1

conference

Human activity learning and segmentation using partially hidden discriminative models

T Truyen, H Bui, S Venkatesh

(2005), pp. 87-95, HAREM 2005 : Proceedings of the International Workshop on Human Activity Recognition and Modelling, Oxford, U. K., E1-1

conference

Situated event bootstrapping and capture guidance for automated home movie authoring

B Adams, S Venkatesh

(2005), pp. 754-763, MM'05 : Proceedings of the 13th ACM International Conference on Multimedia, Singapore, Singapore, E1-1

conference

Temporal data fusion in multisensor systems using dynamic time warping

K Hsiao, G West, S Venkatesh, M Kumar

(2005), pp. 1-9, SENSORFUSION 2005 : Workshop on Information Fusion and Dissemination in Wireless Sensor Networks, Budapest, Hungary, E1-1

conference

Topic transition detection using hierarchical hidden Markov and semi-Markov models

D Phung, T Duong, S Venkatesh, H Bui

(2005), pp. 11-20, MM'05 : Proceedings of the 13th ACM International Conference on Multimedia, Singapore, Singapore, E1-1

conference

Discovery of activity structures using the hierarchical hidden Markov model

N Nguyen, S Venkatesh

(2005), BMCV 2005 : Proceedings of the British Machine Vision Conference, Oxford, U. K., E1-1

conference

Dynamic shot suggestion filtering for home video based on user performance

B Adams, S Venkatesh

(2005), pp. 363-366, MM'05 : Proceedings of the 13th ACM International Conference on Multimedia, Singapore, Singapore, E1-1

conference

Efficient Coxian duration modelling for activity recognition in smart environment with the hidden semi-Markov model

T Duong, D Phung, H Bui, S Venkatesh

(2005), pp. 277-282, Proceedings of the 2005 intelligent sensors, sensor networks and information processing conference, Melbourne, Vic., E1-1

conference

Fast exact cross-validation of least squares support vector machines

S An, W Liu, S Venkatesh

(2005), VIP 2005 : Asia-Pacific Workshop on Visual Information Processing, Hong Kong, China, E1-1

conference

Multimedia authoring : human-computer partnership for harvesting metadata from the right sources

B Adams, S Venkatesh

(2005), pp. 223-245, Managing multimedia semantics, Hershey, PA, USA, B1-1

chapter
2004

Formation of a geometric pattern with a mobile wireless sensor network

J Lee, S Venkatesh, M Kumar

(2004), Vol. 21, pp. 517-530, Journal of robotic systems, Hoboken N. J., C1-1

journal

Using interaction signatures to find and label chairs and floors

P Peursum, S Venkatesh, G West, H Bui

(2004), Vol. 3, pp. 58-65, IEEE pervasive computing, Piscataway, N. J, C1-1

journal

Using multiple windows to track concept drift

M Lazarescu, S Venkatesh, H Bui

(2004), Vol. 8, pp. 29-59, Intelligent data analysis, Amsterdam, The Netherlands, C1-1

journal

Between context-aware media capture and multimedia content analysis - where do we find the promised land?

S Boll, D Bulterman, R Jain, T Chua, R Lienhart, L Wilcox, M Davis, S Venkatesh

(2004), pp. 868-869, ACM Multimedia 2004 : proceedings of the 12th ACM International Conference on Multimedia, New York, NY, E1-1

conference

Director in your pocket : holistic help for the hapless home videographer

B Adams, S Venkatesh

(2004), pp. 460-463, ACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia, New York, N. Y., E1-1

conference

Automatically learning structural units in educational videos with the hierarchical hidden Markov models

D Phung, S Venkatesh, H Bui

(2004), pp. 1605-1608, ICIP 2004 : Proceedings of the 2004 International Conference on Image Processing, Singapore, E1-1

conference

Human action segmentation via controlled use of missing data in HMMs

P Peursum, H Bui, S Venkatesh, G West

(2004), pp. 440-445, ICPR 2004 : Proceedings of the 17th International Conference on Pattern Recognition, Cambridge, U. K., E1-1

conference

Hierarchical hidden Markov models with general state hierarchy

H Bui, D Phung, S Venkatesh

(2004), pp. 324-329, Proceedings of the National Conference on Artificial Intelligence, San Jose, Calif., E1-1

conference

Discovering semantics from visualizations of film takes

B Truong, S Venkatesh, C Dorai

(2004), pp. 109-116, Proceedings : 10th International Multimedia Modeling Conference : MMM 2004 : Brisbane, Australia, 5-7 January 2004, Brisbane, Qld., E1-1

conference

Segmentation of intentional human gestures for sports video annotation

G Chambers, S Venkatesh, G West, H Bui

(2004), pp. 124-129, MMM 2004 : Proceedings of the 10th International Multimedia Modelling Conference, Brisbane, Qld., E1-1

conference

Taming the roving camera : a framework for creating professional home movies through narrative and cinesthetic elements

B Adams, S Venkatesh

(2004), pp. 367-367, MMM 2004 : Proceedings of the 10th International Multimedia Modelling Conference, Brisbane, Qld., E1-1

conference

Application of the DCT energy histogram for face recognition

R Tjahyadi, W Liu, S Venkatesh

(2004), pp. 314-319, ICITA 2004 : Proceedings of the Second International Conference on Information Technology and Applications, Harbin, China, E1-1

conference

Adaptive model for foreground extraction in adverse lighting conditions

S Greenhill, S Venkatesh, G West

(2004), pp. 805-811, PRICAI 2004 : trends in artificial intelligence : 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004 : proceedings, Berlin, Germany, B1-1

chapter

Classifying human actions using an incomplete real-time pose skeleton

P Peursum, H Bui, S Venkatesh, G West

(2004), pp. 971-972, PRICAI 2004 : trends in artificial intelligence : 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004 : proceedings, Berlin, Germany, B1-1

chapter

Explicit state duration HMM for abnormality detection in sequences of human activity

S Luhr, S Venkatesh, G West, H Bui

(2004), pp. 983-984, PRICAI 2004 : trends in artificial intelligence : 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004 : proceedings, Berlin, Germany, B1-1

chapter

Automatic labeling of sports video using umpire gesture recognition

G Chambers, S Venkatesh, G West

(2004), pp. 859-867, Structural, syntactic, and statistical pattern recognition : joint IAPR international workshops SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 : proceedings, Berlin, Germany, B1-1

chapter

Content structure discovery in educational videos using shared structures in the hierarchical hidden Markov models

D Phung, H Bui, S Venkatesh

(2004), pp. 1155-1163, Structural, syntactic, and statistical pattern recognition : joint IAPR international workshops SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 : proceedings, Berlin, Germany, B1-1

chapter

Learning people movement model from multiple cameras for behaviour recognition

N Nguyen, S Venkatesh, G West, H Bui

(2004), pp. 315-324, Structural, syntactic, and statistical pattern recognition : joint IAPR international workshops SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 : proceedings, Berlin, Germany, B1-1

chapter

An immunological approach to raising alarms in video surveillance

L Sasmita, W Liu, S Venkatesh

(2004), pp. 79-86, Advances in multimedia information processing - PCM 2004 : 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30 - December 3, 2004 ; part III, Berlin, Germany, B1-1

chapter

IMCE : integrated media creation environment

B Adams, S Venkatesh, R Jain

(2004), pp. 835-838, ICME 2004 : Proceedings of the IEEE International Conference on Multimedia and Expo, Taipei, Taiwan, E1-1

conference

Automatic parameter selection for Eigenfaces

R Tjahyadi, W Liu, S Venkatesh

(2004), pp. 1-10, ICOTA 2004 : 6th International Conference on Optimization : Techniques and Applications, Ballarat, Vic., E1-1

conference
2003

Low-cost interactive active range finder

M Takatsuka, G West, S Venkatesh, T Caelli

(2003), Vol. 14, pp. 139-144, Machine vision and applications, Berlin, Germany, C1-1

journal

Multiple camera coordination in a surveillance system

N Nguyen, S Venkatesh, G West, H Bui

(2003), Vol. 29, pp. 408-422, Zidonghua xuebao/acta automatica sinica, Beijing, China, C1-1

journal

Resource-aware speculative prefetching in wireless networks

N Tuah, M Kumar, S Venkatesh

(2003), Vol. 9, pp. 61-72, Wireless networks, Secaucus, N.J., C1-1

journal

Scene extraction in motion pictures

B Truong, S Venkatesh, C Dorai

(2003), Vol. 13, pp. 5-15, IEEE transactions on circuits and systems for video technology, Piscataway, N.J., C1-1

journal

Recognising and monitoring high-level behaviours in complex spatial environments

N Nguyen, H Bui, S Venkatesh, G West

(2003), pp. 620-625, CVPR 2003 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Madison, Wis., E1-1

conference

Object labelling from human action recognition

P Peursum, S Venkatesh, G West, H Bui

(2003), pp. 399-406, PerCom 2003 : Proceedings of the 1st IEEE International Conference on Pervasive Computing and Communications, Fort Worth, Tex., E1-1

conference

Recognition of human activity through hierarchical stochastic learning

S Luhr, H Bui, S Venkatesh, G West

(2003), pp. 416-422, PerCom 2003 : Proceedings of the 1st IEEE International Conference on Pervasive Computing and Communications, Fort Worth, Tex., E1-1

conference

Using selective memory to track concept drift effectively

M Lazarescu, S Venkatesh

(2003), pp. 14-19, IASTED 2003 : Proceedings of the IASTED International Conference on Intelligent Systems and Control, Salzburg, Austria, E1-1

conference

Hierarchical topical segmentation in instructional films based on cinematic expressive functions

D Phung, S Venkatesh, C Dorai

(2003), pp. 287-290, MULTIMEDIA 2003 : Proceedings of the 11th ACM International Multimedia Conference and Exhibition, Berkeley, Calif., E1-1

conference

Weaving stories in digital media : when Spielberg makes home movies

B Adams, S Venkatesh

(2003), pp. 207-210, MULTIMEDIA 2003 : Proceedings of the 11th ACM International Multimedia Conference and Exhibition, Berkeley, Calif., E1-1

conference

Horror film genre typing and scene labeling via audio analysis

S Moncrieff, S Venkatesh, C Dorai

(2003), pp. 193-196, ICME 2003 : Proceedings of the International Conference on Multimedia and Expo, Baltimore, Md., E1-1

conference

Identifying film takes for cinematic analysis

B Truong, S Venkatesh, C Dorai

(2003), pp. 405-408, ICME 2003 : Proceedings of the International Conference on Multimedia and Expo, Baltimore, Md., E1-1

conference

Indexing narrative structure and semantics in motion pictures with a probabilistic framework

B Adams, C Dorai, S Venkatesh, H Bui

(2003), pp. 453-456, ICME 2003 : Proceedings of the International Conference on Multimedia and Expo, Baltimore, Md., E1-1

conference

On the extraction of thematic and dramatic functions of content in educational videos

D Phung, S Venkatesh, C Dorai

(2003), pp. 449-452, ICME 2003 : Proceedings of the International Conference on Multimedia and Expo, Baltimore, Md., E1-1

conference

Using camera motion to identify different types of American football plays

M Lazarescu, S Venkatesh

(2003), pp. 181-184, ICME 2003 : Proceedings of the IEEE International Conference on Multimedia and Expo, Baltimore, Md., E1-1

conference
2002

An application of 'agent-oriented' techniques to symbolic matching and object recognition

M Takatsuka, T Caelli, G West, S Venkatesh

(2002), Vol. 23, pp. 419-429, Pattern recognition letters, Amsterdam, Netherlands, C1-1

journal

Finding the beat : an analysis of the rhythmic elements of motion pictures

B Adams, C Dorai, S Venkatesh

(2002), Vol. 2, pp. 215-245, International journal of image and graphics, Singapore, Singapore, C1-1

journal

Performance optimization problem in speculative prefetching

N Tuah, M Kumar, S Venkatesh, S Das

(2002), Vol. 13, pp. 471-484, IEEE transactions on parallel and distributed systems, Piscataway, N. J., C1-1

journal

Policy recognition in the Abstract Hidden Markov Model

H Bui, S Venkatesh, G West

(2002), Vol. 17, pp. 451-499, Journal of artificial intelligence research, El Segundo, Calif., C1-1

journal

Toward automatic extraction of expressive elements from motion pictures : tempo

B Adams, C Dorai, S Venkatesh

(2002), Vol. 4, pp. 472-481, IEEE transactions on multimedia, Piscataway, N. J., C1-1

journal

A cooperative cache architecture in support of caching multimedia objects in MANETs

W Lau, M Kumar, S Venkatesh

(2002), pp. 56-63, WOWMOM 2002 : Proceedings of the 5th ACM International Workshop on Wireless Mobile Multimedia, Atlanta, Ga., E1-1

conference

Application of computational media aesthetics methodology to extracting color semantics in film

B Truong, S Venkatesh, C Dorai

(2002), pp. 339-342, MULTIMEDIA 2002 : Proceedings of the 10th ACM International Multimedia Conference and Exhibition, Juan-les-Pins, France, E1-1

conference

High level segmentation of instructional videos based on content density

D Phung, S Venkatesh, C Dorai

(2002), pp. 295-298, MULTIMEDIA 2002 : Proceedings of the 10th ACM International Multimedia Conference and Exhibition, Juan-les-Pins, France, E1-1

conference

Hierarchical monitoring of people's behaviors in complex environments using multiple cameras

N Nguyen, S Venkatesh, G West, H Bui

(2002), pp. 13-16, ICPR 2002 : Proceedings of the 16th International Conference on Pattern Recognition, Quebec, Canada, E1-1

conference

Hierarchical recognition of intentional human gestures for sports video annotation

G Chambers, S Venkatesh, G West, H Bui

(2002), pp. 1082-1085, ICPR 2002 : Proceedings of the International Conference on Pattern Recognition, Quebec, Canada, E1-1

conference

Narrative structure analysis with education and training videos for e-learning

Q Phung, C Dorai, S Venkatesh

(2002), pp. 835-838, ICPR 2002 : Proceedings of the 16th International Conference on Pattern Recognition, Quebec, Canada, E1-1

conference

Neighborhood coherence and edge based approaches to film scene extraction

B Truong, S Venkatesh, C Dorai

(2002), pp. 350-353, ICPR 2002 : Proceedings of the International Conference on Pattern Recognition, Quebec, Canada, E1-1

conference

Temporal PDMs for gait classification

E Tassone, G West, S Venkatesh

(2002), pp. 1065-1068, ICPR 2002 : Proceedings of the International Conference on Pattern Recognition, Quebec, Canada, E1-1

conference

On the automatic indexing of cricket using camera motion parameters

M Lazarescu, S Venkatesh, G West

(2002), pp. 809-812, ICME 2002 : Proceedings of the IEEE International Conference on Multimedia and Expo, Lausanne, Switzerland, E1-1

conference

Video genre categorization using audio wavelet coefficients

P Dinh, C Dorai, S Venkatesh

(2002), pp. 69-74, ACCV 2002 : Proceedings of the 5th Asian Conference on Computer Vision, Melbourne, Vic., E1-1

conference

A generalised cost-aware caching scheme for caching continuous media objects in best-effort network environments

W Lau, M Kumar, S Venkatesh

(2002), pp. 12-23, IWDC 2002 : Distributed computing : mobile and wireless computing : 4th international workshop proceedings, Calcutta, India, E1-1

conference

A new vector quantisation approach via self-organising map

L Xu, W Liu, S Venkatesh

(2002), pp. 147-154, Proceedings of the third International Conference on Neural Networks and Applications, Interlaken, Switzerland, E1-1

conference

A two stage vector quantization approach via self-organizing map

L Xu, W Liu, S Venkatesh

(2002), pp. 913-916, ICSP' 02 : 6th International Conference on Signal Processing proceedings, Beijing, China, E1-1

conference

An application of machine learning techniques for the classification of glaucomatous progression

M Lazarescu, A Turpin, S Venkatesh

(2002), pp. 243-251, Structural, syntactic, and statistical pattern recognition : joint IAPR International Workshops SSPR 2002 and SPR 2002 proceedings, Ontario, Canada, E1-1

conference

Classifying complex human motion using point distribution models

E Tassone, G West, S Venkatesh

(2002), pp. 138-143, ACCV 2002 : Proceedings of the 5th Asian Conference on Computer Vision, Melbourne, Vic., E1-1

conference

Comparing shape and temporal PDMs

E Tassone, G West, S Venkatesh

(2002), pp. 195-204, Structural, syntactic, and statistical pattern recognition : joint IAPR International Workshops SSPR 2002 and SPR 2002 proceedings, Ontario, Canada, E1-1

conference

Coordination of multiple cameras to track multiple people

N Nguyen, S Venkatesh, G West, H Bui

(2002), pp. 302-307, ACCV 2002 : Proceedings of the 5th Asian Conference on Computer Vision, Melbourne, Vic., E1-1

conference

Film grammar based refinements to extracting scenes in motion pictures

B Truong, S Venkatesh, C Dorai

(2002), pp. 281-284, ICME 2002 : Proceedings of the IEEE International Conference on Multimedia and Expo, Lausanne, Switzerland, E1-1

conference

Finding the beat : an analysis of the rhythmic elements of motion pictures

B Adams, C Dorai, S Venkatesh

(2002), pp. 62-68, ACCV 2002 : Proceedings of the fifth Asian conference on computer vision, Melbourne, Vic., E1-1

conference

Bridging the semantic gap in content management systems

C Dorai, S Venkatesh

(2002), pp. 1-9, Media computing : computational media aesthetics, Dordrecht, The Netherlands, B1-1

chapter

Determining affective events through film audio

S Moncrieff, C Dorai, S Venkatesh

(2002), pp. 131-157, Media computing : computational media aesthetics, Dordrecht, The Netherlands, B1-1

chapter

Formulating film tempo

B Adams, C Dorai, S Venkatesh

(2002), pp. 57-81, Media computing : computational media aesthetics, Dordrecht, The Netherlands, B1-1

chapter
2001

Combining multiple tracking algorithms for improved general performance

K Shearer, K Wong, S Venkatesh

(2001), Vol. 34, pp. 1257-1269, Pattern recognition, Oxford, England, C1-1

journal

Obtaining functional parametric models using active vision strategies

C Lam, G West, S Venkatesh

(2001), Vol. 34, pp. 79-94, Pattern recognition, Oxford, England, C1-1

journal

Tracking and surveillance in wide-area spatial environments using the abstract hidden markov model.

H Bui, S Venkatesh, G West

(2001), Vol. 15, pp. 177-196, International journal of pattern recognition and artificial intelligence, Singapore, C1-1

journal

Video indexing and similarity retrieval by largest common subgraph detection using decision trees

K Shearer, H Bunke, S Venkatesh

(2001), Vol. 34, pp. 1075-1091, Pattern recognition, London, England, C1-1

journal

Video sequence matching via decision tree path following

K Shearer, S Venkatesh, H Bunke

(2001), Vol. 22, pp. 479-492, Pattern recognition letters, Amsterdam, Netherlands, C1-1

journal

A flexible receiver-driven cache replacement scheme for continuous media objects in best-effort networks

W Lau, M Kumar, S Venkatesh

(2001), pp. 1-10, HICSS-34 2001 : Proceedings of the Hawaii International Conference on System Sciences, Maui, Hawaii, E1-1

conference

Affect computing in film through sound energy dynamics

S Moncrieff, C Dorai, S Venkatesh

(2001), pp. 525-527, MULTIMEDIA 2001 : Proceedings of the ACM International Multimedia Conference and Exhibition, Ottawa, Ont., E1-1

conference

Tracking concept drift robustly

M Lazarescu, S Venkatesh, H Bui

(2001), pp. 38-43, AI 2001 : Proceedings of the IASTED International Symposia, Applied Informatics : artificial intelligence and applications, advances incomputer applications : February 19-22, 2001, Innsbruck, Austria, Innsbruck, Austria, E1-1

conference

A cache-based mobility-aware scheme for real-time continuous media delivery in wireless networks

W Lau, M Kumar, S Venkatesh

(2001), pp. 1236-1239, ICME 2001 : Proceedings of the IEEE International Conference on Multimedia and Expo, Tokyo, Japan, E1-1

conference

An application of concept drift tracking to average frame interpretation

M Lazarescu, S Venkatesh, H Bui

(2001), Proceedings of the IASTED International Symposia, Applied Informatics : artificial intelligence &? applications, advances in computer applications, Innsbruck, Austria, E1-1

conference

Analysis of environmental sounds as indexical signs in film

S Moncrieff, C Dorai, S Venkatesh

(2001), pp. 538-545, Advances in multimedia information processing - PCM 2001 : second IEEE Pacific Rim Conference on Multimedia proceedings, Beijing, China, E1-1

conference

Automated film rhythm extraction for scene analysis

B Adams, C Dorai, S Venkatesh

(2001), pp. 1056-1059, ICME 2001 : Proceedings of the IEEE International Conference on Multimedia and Expo, Tokyo, Japan, E1-1

conference

Bridging the semantic gap in content management : computational media aesthetics

C Dorai, S Venkatesh

(2001), pp. 94-99, COSIGN 01 : Proceedings of 1st Conference on Computational Semiotics for Games and New Media, Amsterdam, Netherlands, E1-1

conference

Detecting indexical signs in film audio for scene interpretation

S Moncrieff, C Dorai, S Venkatesh

(2001), pp. 1192-1195, ICME 2001 : Proceedings of the IEEE International Conference on Multimedia and Expo, Tokyo, Japan, E1-1

conference

Determining dramatic intensification via flashing lights in movies

B Truong, S Venkatesh

(2001), pp. 61-64, ICME 2001 : Proceedings of the IEEE International Conference on Multimedia and Expo, Tokyo, Japan, E1-1

conference

Effect of speculative prefetching on network load in distributed systems

N Tuah, M Kumar, S Venkatesh

(2001), IPDPS 2001 : 15th International Parallel and Distributed Processing Symposium : Proceedings, San Francisco, Calif., E1-1

conference
2000

How honeybees make grazing landings on flat surfaces

M Srinivasan, S Zhang, J Chahl, E Barth, S Venkatesh

(2000), Vol. 83, pp. 171-183, Biological cybernetics, Berlin, Germany, C1-1

journal

Learning about dynamic scenes

M Lazarescu, S Venkatesh, G West

(2000), Vol. 13, pp. 315-320, Spatial vision, Leiden, Netherlands, C1-1

journal

Semantic data modelling and visualization using Noetica

S Greenhill, S Venkatesh

(2000), Vol. 33, pp. 241-276, Data and knowledge engineering, Amsterdam, The Netherlands, C1-1

journal

Improved fade and dissolve detection for reliable video segmentation

B Truong, C Dorai, S Venkatesh

(2000), pp. 961-964, ICIP 2000 : Proceedings of the IEEE International Conference on Image Processing, Vancouver, B. C., E1-1

conference

Novel approach to determining tempo and dramatic story sections in motion pictures

B Adams, C Dorai, S Venkatesh

(2000), pp. 283-286, ICIP 2000 : Proceedings of the IEEE International Conference on Image Processing, Vancouver, B. C., E1-1

conference

Performance modelling of speculative prefetching for compound requests in low bandwidth networks

N Tuah, M Kumar, S Venkatesh

(2000), pp. 83-92, WOWMOM 2000 : Proceedings of the 3rd ACM International Workshop on Wireless Mobile Multimedia, Boston, Mass., E1-1

conference

Bayesian networks and decision trees in the diagnosis of female urinary incontinence

M Hunt, B von Konsky, S Venkatesh, P Petros

(2000), pp. 551-554, Proceedings of the 22nd Annual EMBS International Conference, Chicago, Ill., E1-1

conference

Towards automatic extraction of expressive elements from motion pictures : tempo

B Adams, C Dorai, S Venkatesh

(2000), pp. 641-644, ICME 2000 : Proceedings of the IEEE International Conference on Multi-Media and Expo, New York, N. Y., E1-1

conference

New enhancements to cut, fade, and dissolve detection processes in video segmentation

B Truong, C Dorai, S Venkatesh

(2000), pp. 219-227, MULTIMEDIA 2000 : Proceedings of the ACM International Multimedia Conference and Exhibition, Los Angeles, Calif., E1-1

conference

Study of shot length and motion as contributing factors to movie tempo

B Adams, C Dorai, S Venkatesh

(2000), pp. 353-355, MULTIMEDIA 2000 : Proceedings of the ACM International Multimedia Conference and Exhibition, Los Angeles, Calif., E1-1

conference

A probabilistic framework for tracking in wide-area environments

H Bui, S Venkatesh, G West

(2000), pp. 702-705, ICPR 2000 : Proceedings of the International Conference on Pattern Recognition, Barcelona, Spain, E1-1

conference

Automatic genre identification for content-based video categorization

B Truong, S Venkatesh, C Dorai

(2000), pp. 230-233, ICPR 2000 : Proceedings of the International Conference on Pattern Recognition, Barcelona, Spain, E1-1

conference

On the incremental learning and recognition of the pattern of movement of multiple labelled objects in dynamic scenes

M Mugurel, S Venkatesh, G West

(2000), pp. 652-655, ICPR 2000 : Proceedings of the International Conference on Pattern Recognition, Barcelona, Spain, E1-1

conference

Incorporating domain knowledge with video and voice data analysis in news broadcasts

K Shearer, C Dorai, S Venkatesh

(2000), pp. 46-53, MDM/KDD 2000 : Proceedings of the 1st Workshop on Multimedia Data Mining, Boston, Mass., E1-1

conference

On the recognition of abstract Markov policies

H Bui, S Venkatesh, G West

(2000), pp. 524-530, AAAI-2000 : Proceedings of the 17th National Conference on Artificial Intelligence, Austin, Tex., E1-1

conference

On the recognition of American football formations from images

M Lazarescu, S Venkatesh

(2000), pp. 261-264, The first IEEE Pacific-Rim Conference on Multimedia : 2000 International Symposium on Multimedia Information Processing : conference proceedings, Sydney, N.S.W., E1-1

conference

Role of shot length in characterizing tempo and dramatic story sections in motion pictures

B Adams, C Dorai, S Venkatesh

(2000), pp. 54-57, The first IEEE Pacific-Rim Conference on Multimedia : 2000 International Symposium on Multimedia Information Processing : conference proceedings, Sydney, N. S. W., E1-1

conference

Determining motion components using the point distribution model

E Tassone, G West, S Venkatesh

(2000), pp. 363-370, Advances in multimodal interfaces - ICMI 2000 : 3rd International Conference on Multimodal Interfaces proceedings, Beijing, China, E1-1

conference

Evolution in polyphonic musical sequences

C Illiopoulos, M Kumar, L Mouchard, S Venkatesh

(2000), pp. 53-66, AWOCA 2000 : Proceedings of the 11th Australasian workshop on combinatorial algorithms, Hunter Valley, N. S. W., E1-1

conference

Graph matching : fast candidate elimination using machine learning techniques

M Lazarescu, H Bunke, S Venkatesh

(2000), pp. 236-245, Advances in Pattern Recognition : Joint IAPR International Workshops SSPR 2000 and SPR 2000, Alicante, Spain, August 30 ? September 1, 2000 proceedings, Alicante, Spain, E1-1

conference

Rapid similarity retrieval from image and video

K Shearer, S Venkatesh, H Bunke

(2000), pp. 437-464, Multimedia image and video processing, Boca Raton, Fla., B1-1

chapter
1999

Constructing and navigating personalised views of the Web

S Greenhill, S Venkatesh

(1999), Vol. 35, pp. 679-689, Information processing and management, Oxford, U. K., C1-1

journal

Information access and QoS issues in a mobile computing environment

M Kumar, S Venkatesh, K Lim, H Santoso

(1999), Vol. 22, pp. 91-118, Journal of network and computer applications, London, England, C1-1

journal

Insect-inspired robotic homing

K Weber, S Venkatesh, M Srinivasan

(1999), Vol. 7, pp. 65-97, Adaptive behavior, London, England, C1-1

journal

Layered dynamic probabilistic networks for spatio-temporal modelling

H Bui, S Venkatesh, G West

(1999), Vol. 3, pp. 339-361, Intelligent data analysis, Amsterdam, The Netherlands, C1-1

journal

Learning other agents' preferences in multi-agent negotiation using the bayesian classifier

H Bui, S Venkatesh, D Kieronska

(1999), Vol. 8, pp. 275-293, International journal of cooperative information systems, Singapore, C1-1

journal

Robot navigation inspired by principles of insect vision

M Srinivasan, J Chahl, K Weber, S Venkatesh, M Nagle, S Zhang

(1999), Vol. 26, pp. 203-216, Robotics and autonomous systems, Amsterdam, Netherlands, C1-1

journal

An empirical study of neighbourhood decay in Kohonen's self organizing map

R Keith-Magee, S Venkatesh, M Takatsuka

(1999), pp. 1953-1958, IJCNN 1999 : Proceedings of the International Joint Conference on Neural Networks, Washington, D. C., E1-1

conference

A performance model of speculative prefetching in distributed information systems

N Tuah, M Kumar, S Venkatesh

(1999), pp. 75-80, IPPS/SPDP 1999 : Proceedings of the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing, San Juan, Puerto Rico, E1-1

conference

Low-cost interactive active monocular range finder

M Takatsuka, G West, S Venkatesh, T Caelli

(1999), pp. 444-449, CVPR 1999 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Fort Collins, Colo., E1-1

conference

Detection of setting and subject information in documentary video

K Shearer, S Venkatesh

(1999), pp. 797-801, ICMCS 1999 : Proceedings of the 6th International Conference on Multimedia Computing and Systems, Florence, Italy, E1-1

conference

On the automated interpretation and indexing of American football

M Lazarescu, S Venkatesh, G West, T Caelli

(1999), pp. 802-806, ICMCS 1999 : Proceedings of the 6th International Conference on Multimedia Computing and Systems, Florence, Italy, E1-1

conference

Graph sequence matching by decision tree navigation

K Shearer, H Bunke, S Venkatesh

(1999), GbR'99 : Proceedings of the 2nd IAPR-TC-15 Workshop on Graph-based Representations in Pattern Recognition, Haindorf, Austria, E1-1

conference

Incremental learning with forgetting

M Lazarescu, S Venkatesh, G West

(1999), ICML 99 : proceedings of the International Conference on Machine Learning Workshop on Machine Learning in Computer Vision, Bled, 30 June 1999, Bled, Slovenia, E1-1

conference

Obtaining function models using active vision strategies

C Lam, G West, S Venkatesh

(1999), pp. 344-351, Proceedings of the 12th Conference on Vision Interface, Trois-Rivieres, Canada, E1-1

conference

Probabilistic querying at multiple levels of abstraction in large spatial domains

H Bui, S Venkatesh, G West

(1999), pp. 285-290, DICTA 1999 : Fifth International/National Biennial Conference on Digital Image Computing, Techniques and Applications, 7-8 December, 1999, Perth, Australia, Perth, W.A., E1-1

conference

Schematics and 3d object interpretation using symbolic representation and distributed matching strategies

M Takatsuka, T Caelli, G West, S Venkatesh

(1999), GREC'99 : Third International Workshop on Graphics Recognition, Jaipur, India, E1-1

conference

Symbolic representation and distributed matching strategies for schematics

M Takatsuka, T Caelli, G West, S Venkatesh

(1999), pp. 693-696, ICDAR 1999 : Proceedings of the 5th International Conference on Document Analysis and Recognition, Bangalore, India, E1-1

conference

The importance of neighbourhood size in self organising systems

R Keith-Magee, S Venkatesh, M Takatsuka

(1999), pp. 267-272, ICONIP'99 : Proceedings of the 6th International Conference on Neural Information Processing, Perth, W. A., E1-1

conference

Adaptive mpeg filtering for mobile computing environment

H Santoso, M Kumar, S Venkatesh

(1999), pp. 182-488, ASV 1998 : Proceedings of the Fifth Asian Symposium on Visualisation, Serpong, Indonesia, Serpong, Indonesia, E1-1

conference

Applications of machine learning to dynamic scene analysis

M Lazarescu, S Venkatesh, G West, T Caelli

(1999), pp. 57-62, DICTA '99 : 5th International/?National Biennial Conference on Digital Image Computing, Techniques and Applications, Perth, W. A., E1-1

conference

Automatic isolation of speech in news footage for audio event detection

K Shearer, S Venkatesh, C Dorai

(1999), pp. 78-83, DICTA '99 : 5th International/?National Biennial Conference on Digital Image Computing, Techniques and Applications, Perth, W. A., E1-1

conference

Beyond the topological map : developing alternate mappings in self organisation

R Keith-Magee, S Venkatesh, M Takatsuka

(1999), pp. 88-93, DICTA '99 : 5th International/?National Biennial Conference on Digital Image Computing, Techniques and Applications, Perth, W. A., E1-1

conference

Change detection in dynamic communication networks

S Campbell, S Venkatesh, M Kumar, M Kraetzel, P Shoubridge

(1999), pp. 94-98, DICTA '99 : 5th International/?National Biennial Conference on Digital Image Computing, Techniques and Applications, Perth, W. A., E1-1

conference

Classifying and learning cricket shots using camera motion

M Lazarescu, S Venkatesh, G West

(1999), pp. 13-23, Advanced topics in artificial intelligence : 12th Australian Joint Conference on Artificial Intelligence, AI'99, Sydney, Australia, December 6-10, 1999 : proceedings, Sydney, N. S. W., E1-1

conference

Determining object function based on its motion

F Lim, C Lam, S Venkatesh

(1999), pp. 54-59, Computational intelligence for modelling, control & automation, Vienna, Austria, E1-1

conference
1998

Extracting common subtrees from decision trees

M Lazarescu, T Caelli, S Venkatesh

(1998), Vol. 12, pp. 867-879, International journal of pattern recognition and artificial intelligence, Toh Tuck Link, Singapore, C1-1

journal

Noetica : a tool for semantic data modelling

S Greenhill, S Venkatesh

(1998), Vol. 34, pp. 739-760, Information processing & management, Oxford, England, C1-1

journal

Stabilising the camera-to-fixation point distance in active vision

C Lam, G West, S Venkatesh

(1998), Vol. 31, pp. 1431-1442, Pattern recognition, New York, N.Y., C1-1

journal

Efficient graph matching for video indexing

K Shearer, H Bunke, S Venkatesh, D Kieronska

(1998), pp. 53-62, Graph based representations in pattern recognition, Berlin, Germany, B1-1

chapter

Information retrieval in documents using semantic criteria

B Mills, S Venkatesh, M Kumar, L Narasimhan

(1998), pp. 47-53, Proceedings of ADCS '98 : Third Australian Document Computing Symposium, Sydney, N. S. W., E1-1

conference

Investigation of a prefetch model for low bandwidth networks

N Tuah, M Kumar, S Venkatesh

(1998), pp. 38-47, WOWMOM 1998 : Proceedings of the First ACM/IEEE International Conference on Wireless and Mobile Multimedia, Dallas, Tex., E1-1

conference

Rapid isomorphism detection

K Shearer, S Venkatesh

(1998), pp. 266-271, International Conference on Optimisation and Applications, Perth, W.A., E1-1

conference

Retrieval of images using similarity based queries

H Raman, S Venkatesh, C Lam

(1998), ICVGIP 1998 : Computer vision, graphics and image processing : recent advances : proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, New Delhi, India, E1-1

conference

Using natural language and video data to learn American football plays

M Lazarescu, S Venkatesh, G West

(1998), pp. 63-72, ICAPR 198 : proceedings of International Conference on Advances in Pattern Recognition '98, 23-25. Noember, Plymouth, U.K., Plymouth, U.K., E1-1

conference

An efficient least common subgraph algorithm for video indexing

K Shearer, S Venkatesh, H Bunke

(1998), pp. 1241-1243, ICPR 1998 : Proceedings of the 14th International Conference on Pattern Recognition, Brisbane, Qld., E1-1

conference

An image processing approach to monitor crystal growth

F Lim, S Venkatesh, G West, S Freii, A Rohl, M Rejhani, G Paterson

(1998), pp. 1013-1017, International Conference on Robotics and Computer Vision, Singapore, E1-1

conference

An insect-based approach to robotic homing

K Weber, S Venkatesh, M Srinivasan

(1998), pp. 297-299, ICPR 1998 : Proceedings of the 14th International Conference on Pattern Recognition, Brisbane, Qld., E1-1

conference

Classifying and detecting group behaviour from visual surveillance data

R Hosie, S Venkatesh, G West

(1998), pp. 602-604, ICPR 1998 : Proceedings of the 14th International Conference on Pattern Recognition, Brisbane, Qld., E1-1

conference

Combining NL processing and video data to query American football

M Lazarescu, S Venkatesh, G West, T Caelli

(1998), pp. 1238-1240, ICPR 1998 : Proceedings of the 14th International Conference on Pattern Recognition, Brisbane, Qld., E1-1

conference

Robot navigation inspired by principles of insect vision

M Srinivasan, J Chahl, K Weber, S Venkatesh, M Nagle, S Zhang

(1998), pp. 12-16, Field and service robotics, Berlin, Germany, B1-1

chapter
1997

Conceptual representation for multimedia information

R Smith, D Kieronska, S Venkatesh

(1997), Vol. 11, pp. 303-327, International journal of pattern recognition and artificial intelligence, Toh Tuck Link, Singapore, C1-1

journal

Hypothesis verification using parametric models and active vision strategies

C Lam, S Venkatesh, G West

(1997), Vol. 68, pp. 209-236, Computer vision and image understanding, Maryland Heights, Mo., C1-1

journal

Overview of a knowledge modelling tool : Noetica

S Smith, S Venkatesh, D Kieronska

(1997), Vol. 4, pp. 12-21, Australian journal of intelligent information processing systems, Canberra, A. C. T., C1-1

journal

Qualitative estimation of camera motion parameters from video sequences

M Srinivasan, S Venkatesh, R Hosie

(1997), Vol. 30, pp. 593-606, Pattern recognition, London, England, C1-1

journal

Resequencing of video using spatial indexing

K Shearer, D Kieronska, S Venkatesh

(1997), Vol. 8, pp. 193-214, Journal of visual languages and computing, London, England, C1-1

journal

Resolution consideration in spatially variant sensors

F Lim, S Venkatesh, G West

(1997), Vol. 15, pp. 901-912, Image and vision computing, Amsterdam, Netherlands, C1-1

journal

The visitors guide a simple video reuse application

K Shearer, S Venkatesh, D Kieronska

(1997), Vol. 11, pp. 275-301, International journal of pattern recognition and artificial intelligence, Singapore, C1-1

journal

Use of log polar space for foveation and feature recognition

F Lim, G West, S Venkatesh

(1997), Vol. 144, pp. 323-331, IEE proceedings : vision, image and signal processing, London, England, C1-1

journal

Learning image attributes for tracking complex objects

C Chisholm, G West, S Venkatesh

(1997), pp. 385-390, DICTA'97 and IVCNZ'97 : Theme, New Dimensions in Imaging : Proceedings of the First Joint Australian and New Zealand biennial Conference on Digital Image and Vision Computing, Techniques and Applications, Auckland, N. Z., E1-1

conference

Optimal communication amongst team members

H Bui, D Kieronska, S Venkatesh

(1997), pp. 116-126, AI'97 : Proceedings of the 10th Australian Joint Conference on Artificial Intelligence : Advanced Topics in Artificial Intelligence, Perth, W. A., E1-1

conference

Performance analysis of information access in mobile computing environments

M Kumar, S Venkatesh

(1997), IPPS 1997 : 11th International Parallel Processing Symposium, Geneva, Switzerland, E1-1

conference

Qos filtering for video in wireless networks

H Santoso, M Kumar, S Venkatesh

(1997), MMT 1997 : Multiaccess, mobility and teletraffic for wireless communications, Melbourne, Australia, E1-1

conference

A framework for co-ordination and learning among teams of agents

H Bui, S Venkatesh, D Kieronska

(1997), pp. 164-178, Agents and multi-agent systems : formalisms, methodologies, and applications : based on the AI'97 Workshops on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial Intelligence, Perth, W. A., E1-1

conference

A novel scheme for maintaining QOS in mobile environments

H Santoso, M Kumar, S Venkatesh

(1997), MICC 1997 : Proceedings of the IEEE Malaysia International Conference on Communication '97, Kuala Lumpur, Malaysia, E1-1

conference

Composite tracking systems from complementary algorithms

K Shearer, K Wong, S Venkatesh

(1997), pp. 391-397, DICTA'97 and IVCNZ'97 : Theme, New Dimensions in Imaging : Proceedings of the first Joint Australia and? New Zealand Biennial Conference on Digital Image and? Vision Computing, Techniques and Applications, Auckland, N. Z., E1-1

conference

Insect inspired behaviours for the autonomous control of mobile robots

K Weber, S Venkatesh, M Srinivasan

(1997), pp. 226-248, From living eyes to seeing machines, Oxford, U.K., B1-1

chapter

Conceptual representation for multimedia information

R Smith, D Kieronska, S Venkatesh

(1997), pp. 303-327, Spatial computing : issues in vision, multimedia and visualization technologies, Singapore, B1-1

chapter

The visitors guide : a simple video reuse application

K Shearer, S Venkatesh, D Kieronska

(1997), pp. 275-302, Spatial computing : issues in vision, multimedia and visualization technologies, Singapore, B1-1

chapter
1996

Spatial indexing for video databases

K Shearer, S Venkatesh, D Kieronska

(1996), Vol. 7, pp. 325-335, Journal of visual communication and image representation, Maryland Heights, Mo., C1-1

journal

Media-independent knowledge representation via UMART : unified mental annotation and retrieval tool

R Smith, D Kieronska, S Venkatesh

(1996), pp. 96-107, SPIE 1996 : Proceedings of SPIE - the International Society for Optical Engineering, San Jose, Calif., E1-1

conference

Parallel matrix inversion techniques

K Lau, M Kumar, S Venkatesh

(1996), pp. 515-521, ICAPP 1996 : IEEE International Conference on Algorithms and Architectures for Parallel Processing, Singapore, Singapore, E1-1

conference

A distributed directory scheme for information access in mobile computers

M Kumar, S Venkatesh, S Panchanathan

(1996), pp. 138-143, HiPC 1996 : Proceedings of the 3rd International Conference on High Performance Computing, Trivandrum, India, E1-1

conference

Human saccadic eye movements and tracking by active foveation in log polar space

F Lim, S Venkatesh, G West

(1996), pp. 338-349, SPIE 1996 : Proceedings of SPIE - the International Society for Optical Engineering, San Jose, Calif., E1-1

conference

Adaptive depletion for improvement of MPEG video compression

D Tan, S Venkatesh, G West

(1996), pp. 154-168, SPIE 1996 : Proceedings of SPIE - the International Society for Optical Engineering, San Jose, Calif., E1-1

conference

Learning other agents' preferences in multiagent negotiation

H Bui, D Kieronska, S Venkatesh

(1996), pp. 114-119, AAAI-96 : Proceedings of the 13th National Conference on Artificial Intelligence, Portland, Or., E1-1

conference

Insect inspired behaviours for the autonomous control of mobile robots

K Weber, S Venkatesh, M Srinivasan

(1996), pp. 156-160, ICPR 1996 : Proceedings of the 13th international Conference on Pattern Recognition, Vienna, Austria, E1-1

conference

Media-independent information representation and retrieval

D Kieronska, S Venkatesh

(1996), pp. 415-425, SPIE 1996 : Proceedings of SPIE - the International Society for Optical Engineering, San Jose, Calif., E1-1

conference

Landmark based corridor discrimination

K Weber, S Venkatesh, M Srinivasan

(1996), pp. 272-276, ICARCV 1996 : Fourth International Conference on Automation, Robotics and Computer Vision, Westin Stamford, Singapore, E1-1

conference

Learning motion from optic flow

C Lam, S Venkatesh, T Caelli

(1996), pp. 655-659, ICARCV 1996 : fourth International Conference on Control, Automation, Robotics and Vision : proceedings 4-6 December 1996, Westin Stamford, Singapore, Singapore, E1-1

conference

Media independent knowledge indexing and retrieval

D Kieronska, S Venkatesh

(1996), pp. 192-196, The learning superhighway, new world? New worries? : proceedings of the 3rd International Interactive Multimedia Symposium, Perth, Western Australia, January 21-25, 1996, Perth, W.A., E1-1

conference

Negotiating agents that learn about others' preferences

H Bui, D Kieronska, S Venkatesh

(1996), pp. 16-21, Adaptation, coevolution and learning in multiagent systems : papers from the 1996 AAAI Symposium, Stanford, Calif., E1-1

conference

Power saving schemes for mobile computing environments

M Kumar, S Venkatesh

(1996), pp. 296-302, ADCOMP?96 : Proceedings of the Fourth International Conference on Advanced Computing, Bangalore, India, E1-1

conference

Resolution considerations in spatially variant sensors

F Lim, S Venkatesh, G West

(1996), pp. 795-799, ICPR 1996 : Proceedings of the 13th international Conference on Pattern Recognition, Vienna, Austria, E1-1

conference

SEE++ : an object-oriented class library for task-specific vision

T Drummond, T Caelli, S Venkatesh

(1996), pp. 640-644, ICARCV 1996 : fourth International Conference on Control, Automation, Robotics and Vision : proceedings 4-6 December 1996, Westin Stamford, Singapore, Singapore, E1-1

conference

Tracking in a space variant active vision system

F Lim, G West, S Venkatesh

(1996), pp. 745-749, ICPR 1996 : Proceedings of the 13th international Conference on Pattern Recognition, Vienna, Austria, E1-1

conference

Analysing the correction of the camera-to-fixation point distance in active vision

P Lam, S Venkatesh, G West

(1996), ISSPA 96 : Fourth International Symposium on Signal Processing and its Applications : proceedings, August 25-30 1996, Royal Pines Resort, Gold Coast, Queensland, Australia, Gold Coast, Qld., E1-1

conference

Detecting deviations from known paths and speeds in a surveillance situation

R Hosie, S Venkatesh, G West

(1996), ICARCV 1996 : fourth International Conference on Control, Automation, Robotics and Vision : proceedings 4-6 December 1996, Westin Stamford, Singapore, Singapore, E1-1

conference
1995

An investigation into the use of physical modeling for the prediction of various feature types visible from different viewpoints

M Robey, G West, S Venkatesh

(1995), Vol. 61, pp. 417-429, Computer vision and image understanding, Maryland Heights, Mo., C1-1

journal

Constructing hierarchical abstraction for qualitative representations of space and time

H Bui, S Venkatesh, D Kieronska

(1995), Vol. 2, pp. 36-46, Australian journal of intelligent information processing systems, Canberra, A. C. T., C1-1

journal

Detection of curved edges at subpixel accuracy using deformable models

M Kisworo, S Venkatesh, G West

(1995), Vol. 142, pp. 304-312, IEE proceedings : vision, image and signal processing, Stevenage, U.K., C1-1

journal

Dynamic threshold determination by local and global edge evaluation

S Venkatesh, P Rosin

(1995), Vol. 57, pp. 146-160, Graphical models and image processing, Maryland Heights, Mo., C1-1

journal

Hierarchical directory-based shared memory architecture

M Kumar, S Venkatesh, D Kieronska, L Patnaik

(1995), Vol. 38, pp. 207-216, Computer journal, London, England, C1-1

journal

Local energy and pre-envelope

S Venkatesh, J Cooper, B White

(1995), Vol. 28, pp. 1127-1134, Pattern recognition, Oxford, U. K., C1-1

journal

Spatial reasoning via active observation

S Venkatesh, D Kieronska, S Smith

(1995), Vol. 9, pp. 495-524, Applied artificial intelligence, Philadelphia, Pa., C1-1

journal

Two-dimensional string notation for representing video sequences

K Shearer, D Kieronska, S Venkatesh

(1995), pp. 389-400, SPIE 1995 : Proceedings of SPIE - the International Society for Optical Engineering, Philadelphia, Pa., E1-1

conference

Indexing of multimedia data

D Kieronska, S Venkatesh

(1995), pp. 31-37, Indexers - partners in publishing : proceedings from the first international conference of the Australian Society of Indexers, Marysville, Victoria, E1-1

conference

A point-based representation for intervals

A Travers, S Venkatesh, D Kieronska

(1995), pp. 169-174, ANZIIS-95 : Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems, Perth, W. A., E1-1

conference

Towards detecting patterns of human behaviour from image sequences

R Hosie, S Venkatesh, G West

(1995), pp. 109-121, AI'95 : Proceedings of the Artificial Intelligence in Defence Workshop : 8th Australian Joint Conference on Artificial Intelligence, Canberra, A. C. T., E1-1

conference

Video indexing by spatial representation

R Liang, S Venkatesh, D Kieronska

(1995), pp. 99-104, ANZIIS-95 : Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems, Perth, W. A., E1-1

conference

A multi-agent incremental negotiation scheme for meetings scheduling

H Bui, S Venkatesh, D Kieronska

(1995), pp. 175-180, ANZIIS-95 : Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems, Perth, W. A., E1-1

conference

A new algorithm for similarity retrieval in pictorial databases

K Shearer, D Kieronska, S Venkatesh

(1995), ADL'95 : A Forum on Research and Technology Advances in Digital Libraries, McLean, Va., E1-1

conference

An evading and hiding agent

T Ly, S Venkatesh, D Kieronska

(1995), Proceedings of the IASTED International Conference, Modelling and Simulation : Pittsburgh, Pennsylvania, April 27-29, 1995, Pittsburgh, Pa., E1-1

conference

Centering behavior for mobile robots using insect based cues

J Chahl, K Weber, M Srinivasan, S Venkatesh

(1995), pp. 224-228, ACCV '95 : proceedings, second Asian Conference on Computer vision : 5-8 December 1995, Singapore, E1-1

conference

Correcting camera-to-foveation point distance using active vision strategies

C Lam, G West, S Venkatesh

(1995), pp. 136-140, Proceedings of the 2nd Asian Conference on Computer Vision 1995, Singapore, Singapore, E1-1

conference

Feature detection and recognition in active vision utilizing foveation in log polar space

F Lim, G West, S Venkatesh

(1995), pp. 375-379, ACCV '95 : proceedings, second Asian Conference on Computer vision : 5-8 December 1995, Singapore, E1-1

conference

Geometric hashing on SIMD architectures

M Leishman, S Venkatesh, G West

(1995), pp. 279-288, PART 95 : Proceedings of the Australasian Conference on Parallel and Real-Time Systems : 28-29 September 1995, Freemantle, Western Australia, Perth, W.A., E1-1

conference

Low level vision in insects, its application to robot navigation

M Srinivasan, J Chahl, M Nagle, K Weber, S Venkatesh

(1995), pp. 312-325, Computational intelligence : a dynamic system perspective, Piscataway, N.J,, B1-1

chapter
1994

Modeling edges at subpixel accuracy using the local energy approach

M Kisworo, S Venkatesh, G West

(1994), Vol. 16, pp. 405-410, IEEE transactions on pattern analysis and machine intelligence, Piscataway, N. J., C1-1

journal

Emerging hypothesis verification using function-based geometric models and active vision strategies

C Lam, G West, S Venkatesh

(1994), pp. 818-822, CVPR'94 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Seattle, Wash., E1-1

conference

An investigation into the use of physical modelling for the prediction of various feature types visible from different view points

M Robey, G West, S Venkatesh

(1994), pp. 282-290, Proceedings of the 2nd CAD-Based Vision Workshop, Champion, Pa., E1-1

conference

Hierarchical representation for spatial knowledge

D Kieronska, S Venkatesh

(1994), pp. 314-329, Computer aided systems theory - EUROCAST '93 : a selection of papers from the third International Workshop on Computer Aided Systems Theory, Las Palmas, Spain, February 22-26, 1993 : proceedings, Berlin, Germany, B1-1

chapter

A unified formalism for landmark based representation of maps and navigation plans

S Venkatesh, D Kieronska

(1994), pp. 123-132, Fuzzy logic and fuzzy control : IJCAI '91 workshops on fuzzy logic and fuzzy control, Sydney, Australia, August 24, 1991 : proceedings, Berlin, Germany, B1-1

chapter

Indexing of video data

D Kieronska, S Venkatesh

(1994), pp. 230-239, Workshop on spatial and temporal Interaction : representation and reasoning, Singapore, E1-1

conference

Insect based navigation and its applications to the autonomous control of mobile robots

K Weber, S Venkatesh, D Kieronska

(1994), pp. 1228-1232, ICARCV 1994 : Third International Conference on Automation, Robotics and Computer Vision, Shangri-La, Singapore, E1-1

conference

Simd implementation of region based quad trees

D Kieronska, S Venkatesh, C Farrell

(1994), pp. 205-211, Proceedings of the Australasian Workshop on Parallel and Real-Time Systems, Melbourne, Vic., E1-1

conference

Topology + order = spatial relation

T Travers, S Venkatesh, D Kieronska

(1994), pp. 161-166, AAAI 1994 : Twelfth National Conference on Artificial Intelligence : Workshop on Spatial and Temporal Reasoning, Seattle, WA, USA, E1-1

conference

A formal representation for qualitative spatial knowledge

H Bui, S Venkatesh, D Kieronska

(1994), pp. 846-851, ICARCV '94, proceedings : the 3rd International Conference on Automation, Robotics and Computer Vision, Shangri-La, Singapore, E1-1

conference

Distributed quad tree processing of vector data

S Venkatesh, D Kieronska

(1994), pp. 26-31, IWPP 1994 : proceedings of the First International Workshop on Parallel Processing : December 26-31, 1994, Bangalore, India, Bangalore, India, E1-1

conference
1993

Early jump-out corner detectors

J Cooper, S Venkatesh, L Kitchen

(1993), Vol. 15, pp. 823-828, IEEE transactions on pattern analysis and machine intelligence, Piscataway, N. J., C1-1

journal

Extracting natural scales using Fourier descriptors

P Rosin, S Venkatesh

(1993), Vol. 26, pp. 1383-1393, Pattern recognition, Oxford, U. K., C1-1

journal

Implementing geometric hashing on the dec mpp 12000

M Leishman, S Venkatesh, G West

(1993), pp. 260-265, DICTA 93: digital image computing : techniques and applications : conference proceedings : Sydney 8-10 December 1993 ; venue : Macquarie University, Sydney, N.S.W., E1-1

conference

Maps for mobile agents : representing spatial knowledge

S Venkatesh, D Kieronska

(1993), pp. 325-330, Proceedings : International Symposium on Artificial Intelligence, The Artificial Intelligence Technology Transfer Conference, September 20-24, 1993, Intelligent systems in industry and business, Monterrey, Mexico, E1-1

conference

Planning with spatial primitives

S Venkatesh, D Kieronska

(1993), pp. 718-722, ANZIIS 93 : Australian and New Zealand Conference on Intelligent Information Systems, 1993 : Perth, Western Australia, December 1-3, 1993, Perth, W.A., E1-1

conference

Predicting object features due to specularity for a general purpose model based 3D object recognition system

M Robey, S Venkatesh, G West

(1993), pp. 517-524, DICTA 93: digital image computing : techniques and applications : conference proceedings : Sydney 8-10 December 1993 ; venue : Macquarie University, Sydney, N.S.W., E1-1

conference

Shape recognition in active vision using log polar transformation

F Lim, G West, S Venkatesh

(1993), pp. 366-373, DICTA 1993 : Proceedings of the 2nd Conference on Digital Image Computing, Techniques and Applications, Sydney, N. S. W., E1-1

conference

Active verification of emerging hypotheses using function based geometric models

P Lam, S Venkatesh, G West

(1993), pp. 47-54, DICTA 1993 : Proceedings of the 2nd Conference on Digital Image Computing, Techniques and Applications, Sydney, N. S. W., E1-1

conference

Agents in adversarial domains - modelling environments in parallel

T Ly, S Venkatesh, D Kieronska

(1993), pp. 81-89, AIS'93 : Proceedings of the 4th Annual conference on AI, Simulation and Planning in High Autonomy Systems : Integrating Virtual Reality and Model-Based Environments, Tuscon, Ariz., E1-1

conference

Deriving ambiguous spatial relations

A Travers, D Kieronska, S Venkatesh

(1993), pp. 47-53, AIS 1993 : AI, simulation and planning in high automony systems : proceedings, Fourth Annual Conference, Tuscon, Ariz., E1-1

conference

Dynamic threshold determination by local and global edge evaluation

S Venkatesh, P Rosin

(1993), pp. 40-50, SPIE 1993 : Proceedings of SPIE - the International Society for Optical Engineering : Machine Vision and Robotics, Orlando, Fla., E1-1

conference

Function directed geometric model-based active visual strategies

P Lam, S Venkatesh, G West

(1993), pp. 732-736, ANZIIS 93 : Australian and New Zealand Conference on Intelligent Information Systems, 1993 : Perth, Western Australia, December 1-3, 1993, Perth, W.A., E1-1

conference
1992

Edge evaluation using necessary components

S Venkatesh, L Kitchen

(1992), Vol. 54, pp. 23-30, CVGIP : graphical models and image processing, Maryland Heights, Mo., C1-1

journal

Local energy, the pre-envelope, and filter resolution

S Venkatesh, J Cooper, B White

(1992), pp. 13-17, Proceedings of the 11th IAPR International Conference on Pattern Recognition : Image, Speech and Signal Analysis, The Hague, The Netherlands, E1-1

conference

Occlusion based motion segmentation

M Corbett, S Venkatesh, J Cooper

(1992), pp. 498-501, Proceedings of the 2nd Singapore International Conference on Image Processing, 7-11 September 1992, Singapore, Singapore, E1-1

conference

On the determination of all useful object features for 3D objects using physical models

M Robey, G West, S Venkatesh

(1992), pp. 153-158, AI 1992 : proceedings of the 5th Australian Joint Conference on Artificial Intelligence, Hobart, Tasmania, 16-18 November 1992, Hobart, Tas., E1-1

conference

Satisfying viewsphere requirements using raytracing and physical modelling techniques

M Robey, S Venkatesh, G West

(1992), pp. 452-456, Proceedings of the 2nd Singapore International Conference on Image Processing, 7-11 September 1992, Singapore, Singapore, E1-1

conference

Spatial reasoning for intelligent navigation

S Venkatesh, D Kieronska

(1992), ICARCV 1992 : Second International Conference on Automation, Robotics and Computer Vision, Singapore, Singapore, E1-1

conference

Spatial reasoning by active observation

S Venkatesh, D Kieronska

(1992), pp. 147-153, AIS'92 : Proceedings of 3rd Annual Conference on Artificial Intelligence, Planning and High Autonomy Systems, Perth, W. A., E1-1

conference

A unified formalism for landmark based representation of maps and navigation plans

S Venkatesh, D Kieronska

(1992), pp. 1296-1306, CARs and FOF : 8th international conference on CAD/CAM, robotics and factories of the future : August 17-19, 1992, Metz, France, Metz, France, E1-1

conference

Curve reconstruction and segmentation using deformable models

M Kisworo, G West, S Venkatesh

(1992), pp. 96-100, ICIP 92 : proceedings of the 2nd Singapore International Conference on Image Processing, 7-11 September 1992, Singapore, Singapore, Singapore, E1-1

conference

Deduction of high level spatial relations

D Kieronska, S Venkatesh

(1992), pp. 684-687, Proceedings : Technology for the Intelligent Factory /? IEEE International Workshop on Emerging Technologies and Factory Automation, Melbourne, Vic., E1-1

conference

Extracting natural scales using fourier descriptors

P Rosin, S Venkatesh

(1992), pp. 177-182, AI 1992 : proceedings of the 5th Australian Joint Conference on Artificial Intelligence, Hobart, Tasmania, 16-18 November 1992, Hobart, Tas., E1-1

conference
1991

Local energy and multiresolution

S Venkatesh, J Cooper, B White

(1991), DICTA 91 : digital image computing : techniques and applications, Royal Exhibition Building Conference Centre, Melbourne, 4-6 December, 1991, Melbourne, Vic., E1-1

conference

Planning with events and states

D Kieronska, S Venkatesh, C Tsang

(1991), pp. 181-186, AIS'91 : Proceedings of 2nd Annual Conference in AI, Simulation and Planning in High Autonomy Systems : Integrating Qualitative and Quantitative System Knowledge, Cocoa Beach, Fla., E1-1

conference

Subpixel precision edge modelling using the generalised energy approach

M Kisworo, S Venkatesh, G West

(1991), pp. 445-451, SCIA 1991 : Proceedings of the 7th Scandinavian Conference on Image Analysis, Aalborg, Denmark, E1-1

conference

The dissimilarity corner detector

J Cooper, S Venkatesh, L Kitchen

(1991), pp. 1377-1382, ICAR 1991 : Proceedings of the 5th International Conference on Advanced Robotics : Robots in Unstructured Environments, Pisa, Italy, E1-1

conference

2-D edge feature extraction to subpixel accuracy using the generalized energy approach

M Kisworo, S Venkatesh, G West

(1991), pp. 344-348, TENCON'91 : Proceedings of IEEE Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems, New Delhi, India, E1-1

conference

General purpose viewpoint prediction algorithm

M Robey, G West, S Venkatesh

(1991), DICTA 91 : digital image computing : techniques and applications, Royal Exhibition Building Conference Centre, Melbourne, 4-6 December, 1991, Melbourne, Vic., E1-1

conference
1990

On the classification of image features

S Venkatesh, R Owens

(1990), Vol. 11, pp. 339-349, Pattern recognition letters, Amsterdam, Netherlands, C1-1

journal

Texture factorization : variant and invariant description

S Venkatesh, L Kitchen

(1990), pp. 639-652, AI 1990 : proceedings of the 4th Australian Joint Conference on Artificial Intelligence, Perth, 21-23 November 1990, Perth, W.A., E1-1

conference
1989

Edge detection is a projection

R Owens, S Venkatesh, J Ross

(1989), Vol. 9, pp. 233-244, Pattern recognition letters, Amsterdam, The Netherlands, C1-1

journal

A robust scheme for isolating and classifying visual features

R Owens, S Venkatesh

(1989), pp. 664-679, Proceedings of the International Conference on ArtificiaI Intelligence in Industry and Government, Hyderabad, India, E1-1

conference

Funded Projects at Deakin

Australian Competitive Grants

Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data

Prof Svetha Venkatesh, Prof Anil Jain

ARC - Discovery Projects

  • 2012: $128,334

Computational Tools to Analyse and Exploit the Social Media Revolution

Prof Svetha Venkatesh, Dr Brett Adams

ARC - Discovery Projects

  • 2013: $120,496
  • 2012: $93,533

Assistive Technologies for Autism Support Harnessing Social Media

Prof Svetha Venkatesh, Prof Dinh Phung, Dr Aneesh Krishna, Dr Brett Adams

ARC Linkage - Projects Rnd 1

  • 2013: $153,358
  • 2012: $194,112

Robust and scalable change detection in geo-spatial data

Prof Svetha Venkatesh, Prof Dinh Phung, Dr Sonny Pham

ARC Linkage - Projects Rnd 2, Linkage PhD student

  • 2014: $179,628
  • 2013: $177,941
  • 2012: $85,674

Assistive Tools for Early Intervention in Autism

Prof Svetha Venkatesh, Prof Dinh Phung, Mrs Silvana Gaglia

ARC Linkage - Projects

  • 2017: $67,656
  • 2016: $133,312
  • 2015: $131,084
  • 2014: $64,389

Stay well: Analysing lifestyle data from smart monitoring devices.

Prof Dinh Phung, Prof Svetha Venkatesh

ARC - Discovery Projects

  • 2017: $114,741
  • 2016: $129,091
  • 2015: $132,328

ARC Research Hub for Digital Enhanced Living

Prof John Grundy, Prof Svetha Venkatesh, Prof Anthony Maeder, Prof Kon Mouzakis, Prof Alison Hutchinson, Prof Michael Berk, Prof Ralph Maddison, Prof Abbas Kouzani, Prof Rajesh Vasa, Prof Rafael Calvo, Prof Helen Christensen, Prof Patricia Williams, Prof Dinh Phung, Prof John Yearwood, Prof Susan Gordon, Prof David Powers, Prof Nilmini Wickramasinghe, A/Prof Niranjan Bidargaddi, Dr Santu Rana, Dr Truyen Tran, Dr Sunil Gupta, Dr Wei Luo, Dr Mohamed Abdelrazek, Dr Felix Tan, Prof Henning Langberg, A/Prof Lars Kayser, A/Prof Finn Kensing, Prof Freimut Bodendorf, Prof John Hansen, Prof James Warren, Dr Roopak Sinha, Mr Ian Aitken, Prof A Smeaton, Mr Fonda Voukelatos, Mr Jeffrey Fiebig, Mr Dean Serroni, Mr Christopher Farguhar, Mr Ramesh Nagarajan, Ms Jennifer Biggin, Mr John Fouyaxis, Mr Emmanuel Gerasimou, David Varley

ARC Industrial Transformation Research Hubs

  • 2017: $505,426

New 3D printed high entropy alloys for exceptional performance in aerospace and mining

Prof Matthew Barnett, Prof Peter Hodgson, Dr Daniel Fabijanic, Prof Svetha Venkatesh, Prof Xinhua Wu, RMIT Ma Qian, Prof B Murty, A/Prof G.D. Janaki Ram, Prof Satyam Suwas, Dr Anand Krishnamurthy

DIISR/AISRF Grant - AISRF/India-Australian Strategic Research Fund - Department of Innovation, Industry, Science & Research

  • 2017: $461,508

Pattern analysis for accelerating scientific innovation

Prof Svetha Venkatesh

ARC Fellowship ALF - Australian Laureate Fellowship

  • 2017: $294,048

Other Public Sector Funding

Barwon Health Partnership - Advanced data analytics for care management of chronic disease

Prof Svetha Venkatesh, Prof Dinh Phung

  • 2016: $50,000
  • 2015: $100,000
  • 2014: $20,000
  • 2013: $50,000
  • 2012: $50,000

Barwon Health/Deakin Health Science Centre

Prof Svetha Venkatesh

  • 2015: $130,000

Management flow information extensions to ihealthmap- Software development of iHealthMap

Prof Svetha Venkatesh

  • 2016: $40,000
  • 2015: $105,000

Deep anomaly detection from multiple sensors and applications in situation awareness

Prof Dinh Phung, Prof Svetha Venkatesh

  • 2017: $10,000
  • 2016: $15,000

Industry and Other Funding

Assistive Technologies for Autism Support Harnessing Social Media

Prof Svetha Venkatesh, Prof Dinh Phung, Dr Aneesh Krishna, Dr Brett Adams

  • 2014: $12,500
  • 2013: $80,000
  • 2012: $121,013

NICTA Victoria Research Laboratory Scholarship

A/Prof Pubudu Pathirana, Prof Svetha Venkatesh

  • 2017: $76,840
  • 2015: $115,000
  • 2013: $109,000
  • 2012: $71,000
  • 2011: $35,000

Robust and scalable change detection in geo-spatial data

Prof Svetha Venkatesh, Prof Dinh Phung, Dr Sonny Pham

  • 2016: $16,500
  • 2015: $33,000
  • 2014: $33,000
  • 2013: $16,500

Therapy Outcomes By You (TOBY) Playpad randomised controlled trial to test the effectiveness of the application for early intervention in Autism.

Prof Svetha Venkatesh, Prof Dinh Phung

  • 2013: $60,000
  • 2012: $70,000

Assistive Tools for Early Intervention in Autism

Prof Svetha Venkatesh, Prof Dinh Phung, Mrs Silvana Gaglia

  • 2017: $60,000
  • 2016: $40,000
  • 2015: $80,000

Network anomaly detection

Prof Dinh Phung, Prof Svetha Venkatesh

  • 2015: $223,580
  • 2014: $26,740

Leveraging Social Media for Improving Mental Health

Prof Svetha Venkatesh, Prof Dinh Phung, Ms Trang Thi Minh Pham

  • 2016: $3,000
  • 2015: $3,000

COE in Big Data and Machine Learning

Prof Svetha Venkatesh

  • 2017: $200,000
  • 2016: $400,000

Improving mental health through social media

Dr Thin Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh, Dr Bridianne O'Dea, Dr Mark Larsen, Prof Helen Christensen

  • 2017: $20,000
  • 2016: $20,000

Digital Enhanced Living Project

Prof Kon Mouzakis, Prof Rajesh Vasa, Dr Niroshinie Fernando, Dr Mohamed Abdelrazek, Prof Svetha Venkatesh, Prof Dinh Phung, Prof John Grundy

  • 2017: $680,000
  • 2016: $501,220

Accuracy of Machine Scoring of Fidgety Movements from High Risk Infant Populations

Prof Svetha Venkatesh

  • 2017: $33,602
  • 2016: $33,602

Unlocking factors for successful job placement through machine learning

Prof Svetha Venkatesh, Dr Wei Luo

  • 2017: $78,028

iCetana - Phase 1 Examine and compare state-of-art methods in background/foreground separation

Prof Svetha Venkatesh, Dr Santu Rana, Dr Sunil Gupta, Dr Budhaditya Saha

  • 2017: $100,000

Other Funding Sources

Computational infrastructure for developing deep machine learning models.

Prof Ian Reid, Prof Svetha Venkatesh, Prof Peter Corke, Prof Mohammed Bennamoun, A/Prof Stephen Gould, Prof Anton van den Hengel, Prof Chunhua Shen, Dr Anthony Dick, A/Prof Gustavo Cameiro, Prof Dinh Phung, Dr Niko Suenderhauf, A/Prof Ajmal Mian

  • 2016: $29,094

Supervisions

Principal Supervisor
2016

Xin Zhang

Thesis entitled: Sparse representation for face images

Doctor of Philosophy (Information Technology), School of Information Technology

Pratibha Vellanki

Thesis entitled: Applied Machine Learning for Personalised Early Intervention in Autism

Doctor of Philosophy (Information Technology), School of Information Technology

Co-supervisor
2016

Iman Kamkar

Thesis entitled: Building Stable Predictive Models for Healthcare Applications: A Data-Driven Approach

Doctor of Philosophy (Information Technology), School of Information Technology

Associate Supervisor
2017

Shivapratap Gopakumar

Thesis entitled: Machine Learning in Healthcare: An Investigation into Model Stability

Doctor of Philosophy (Information Technology), School of Information Technology

Huu Viet Huynh

Thesis entitled: Towards Scalable Bayesian Nonparametric Methods for Data Analytics

Doctor of Philosophy (Information Technology), School of Information Technology

2016

Adham Beykikhoshk

Thesis entitled: Knowledge Discovery and Probabilistic Models of Online Autism Spectrum Disorder Data

Doctor of Philosophy (Information Technology), School of Information Technology

Bo Dao

Thesis entitled: Social Media as Sensor for Healthcare: A Machine Learning Approach

Doctor of Philosophy (Information Technology), School of Information Technology

2015

Tien Vu Nguyen

Thesis entitled: Bayesian nonparametric multilevel modelling and applications

Doctor of Philosophy (Information Technology), School of Information Technology

Cong Thuong Nguyen

Thesis entitled: Bayesian nonparametric learning of contexts and activities from pervasive signals

Doctor of Philosophy (Information Technology), School of Information Technology

Tu Dinh Nguyen

Thesis entitled: Structured representation learning from complex data

Doctor of Philosophy (Information Technology), School of Information Technology

Cheng Li

Thesis entitled: Exploiting side information in Bayesian nonparametric models and their applications

Doctor of Philosophy (Information Technology), School of Information Technology