Prof Svetha Venkatesh

Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation

Julian Berk, Sunil Gupta, Santu Rana, Svetha Venkatesh

(2021), pp. 2284-2290, IJCAI-PRICAI-20 : Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, Yokohama, Japan, E1

Dynamic Language Binding in Relational Visual Reasoning

Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

(2021), pp. 818-824, IJCAI-PRICAI 2020 : Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, Online from Yokohama, Japan, E1

Bayesian Optimization with Missing Inputs

P Luong, D Nguyen, S Gupta, S Rana, S Venkatesh

(2021), Vol. 12458, pp. 691-706, ECML PKDD 2020 : Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Belgium, Ghent, E1

Scalable Backdoor Detection in Neural Networks

H Harikumar, V Le, S Rana, S Bhattacharya, S Gupta, S Venkatesh

(2021), Vol. 12458, pp. 289-304, ECML PKDD 2020 : Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Belgium, Ghent, E1

DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types

Adham Beykikhoshk, Thomas Quinn, Samuel Lee, Truyen Tran, Svetha Venkatesh

(2020), Vol. 13, pp. 1-10, GIW/ABACBS 2019 : Proceedings of the Joint 30th International Conference on Genome Informatics (GIW) & Australian Bioinformatics and Computational Biology Society (ABACBS) Annual Confernence, Sydney, N.S.W., E1

Level set estimation with search space warping

Manisha Senadeera, S Rana, S Gupta, S Venkatesh

(2020), Vol. 12085, pp. 827-839, PAKDD 2020 : Advances in Knowledge Discovery and Data Mining : Proceedings of the 24th Pacific-Asia Conference 2020, Singapore, E1

Distributionally Robust Bayesian Quadrature Optimization

Tang Thanh, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh

(2020), Vol. 108, pp. 1921-1930, AISTATS 2020 : Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, Online from Palermo, Italy, E1

Accelerated Bayesian Optimization through Weight-Prior Tuning

Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Laurence Park, Cheng Li, Svetha Venkatesh, Thomas Dorin, Alessandra Sutti, David Rubin, Teo Slezak, Alireza Vahid, Murray Height

(2020), Vol. 108, pp. 1-10, AISTATS 2020 : Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, Online from Palermo, Italy, E1

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning

T Karimpanal, S Rana, S Gupta, T Tran, S Venkatesh

(2020), pp. 1-10, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Glasgow, Scotland, E1

Neural Reasoning, Fast and Slow, for Video Question Answering

T Le, V Le, S Venkatesh, T Tran

(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1

Hierarchical conditional relation networks for video question answering

T Le, V Le, S Venkatesh, T Tran

(2020), pp. 9969-9978, CVPR 2020 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Virtual from Seattle, Washington, E1

MrPC: causal structure learning in distributed systems

T Nguyen, D Nguyen, T Le, S Venkatesh

(2020), Vol. 1332, pp. 87-94, ICONIP 2020 : Proceedings of the 27th International Conference on Neural Information Processing 2020, Online from Bangkok, Thailand, E1

Neural Stored-program Memory

Hung Le, Truyen Tran, Svetha Venkatesh

(2020), pp. 1-28, ICLR 2020 : Proceedings of the 8th International Conference on Learning Representations, Virtual Conference, Ethiopia, E1

DeepCoDA: Personalized interpretability for compositional health data

T Quinn, D Nguyen, S Rana, S Gupta, S Venkatesh

(2020), Vol. PartF168147-11, pp. 7833-7842, ICML 2020 : Proceedings of the 37th International Conference on Machine Learning, Online, E1

Self-Attentive associative memory

H Le, T Tran, S Venkatesh

(2020), pp. 5638-5647, ICML 2020 : Proceedings of the 37th International Conference on Machine Learning, Online, E1

Trading convergence rate with computational budget in high dimensional Bayesian optimization

H Tran The, S Gupta, S Rana, S Venkatesh

(2020), pp. 2425-2432, AAAI-20 : Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence, New York, N.Y., E1

Bayesian optimization for categorical and category-specific continuous inputs

D Nguyen, S Gupta, S Rana, A Shilton, S Venkatesh

(2020), pp. 5256-5263, AAAI-20 : Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence, New York, N.Y., E1

The World has Changed - The World Needs to Change. What Multimedia has to Offer for Our Common Digital Future

S Boll, H Sundram, S Venkatesh, M Larson, M Kankanhalli

(2020), pp. 4796-4798, MM 2020 : Proceedings of the 28th ACM International Conference on Multimedia, New York, N.Y., E1

Information-theoretic transfer learning framework for Bayesian optimisation

A Ramachandran, S Gupta, S Rana, S Venkatesh

(2019), Vol. 11052, pp. 827-842, ECML-PKDD 2018 : Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2018, Dublin, Ireland, E1

Sqn2Vec: learning sequence representation via sequential patterns with a gap constraint

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

(2019), Vol. 11052, pp. 569-584, ECML-PKDD 2018 : Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin, Ireland, E1

Exploration enhanced expected improvement for Bayesian optimization

J Berk, V Nguyen, S Gupta, S Rana, S Venkatesh

(2019), Vol. 11052, pp. 621-637, ECML-PKDD 2018 : Proceedings of the e European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2018, Dublin, Ireland, E1

Incomplete conditional density estimation for fast materials discovery

P Nguyen, T Tran, S Gupta, S Rana, M Barnett, S Venkatesh

(2019), pp. 549-557, 2019 SIAM : Proceedings of the 2019 SIAM International Conference on Data Mining, Calgary, Alta., E1

Learning to remember more with less memorization

H Le, T Tran, S Venkatesh

(2019), ICLR 2019: Proceedings of the 7th International Conference on Learning Representations, New Orleans, Louisiana, E1

Improving generalization and stability of generative adversarial networks

H Thanh-Tung, S Venkatesh, T Tran

(2019), ICLR 2019: Proceedings of the 7th International Conference on Learning Representations, New Orleans, Louisiana, E1

Graph transformation policy network for chemical reaction prediction

K Do, T Tran, S Venkatesh

(2019), pp. 750-760, KDD 2019 : Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Anchorage, Alaska, E1

Bayesian functional optimisation with shape prior

Pratibha Vellanki, Santu Rana, Sunil Gupta, David Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh

(2019), pp. 1617-1624, AAAI 2019 : Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, Hawaii, E1

Explaining black-box models using interpretable surrogates

D Kuttichira, S Gupta, C Li, S Rana, S Venkatesh

(2019), Vol. 11670, pp. 3-15, PRICAI 2019: Trends in Artificial Intelligence 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings,, Cuvu, Fiji, E1

Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation

A Ramachandran, S Gupta, S Rana, S Venkatesh

(2019), Vol. 11919, pp. 497-509, AI 2019: Advances in artificial intelligence : Proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence 2019, Adelaide, South Australia, E1

Bayesian Optimization with Discrete Variables

P Luong, S Gupta, D Nguyen, S Rana, S Venkatesh

(2019), Vol. 11919, pp. 473-484, AI 2019 : Advances in Artificial Intelligence : Proceedings of the 32nd Australian Joint Conference, Adelaide, South Australia, E1

Detection of Compromised Models Using Bayesian Optimization

D Kuttichira, S Gupta, D Nguyen, S Rana, S Venkatesh

(2019), Vol. 11919, pp. 485-496, AI 2019 : Advances in Artificial Intelligence : Proceedings of the 32nd Australian Joint Conference, Adelaide, South Australia, E1

Efficient bayesian optimization for uncertainty reduction over perceived optima locations

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

(2019), Vol. 2019-November, pp. 1270-1275, ICDM 2019 : Proceedings of the 19th IEEE International Conference on Data Mining, Beijing, China, E1

Learning regularity in skeleton trajectories for anomaly detection in videos

R Morais, V Le, T Tran, B Saha, M Mansour, S Venkatesh

(2019), pp. 11988-11996, CVPR 2019 : Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, California, E1

Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection

D Gong, L Liu, V Le, B Saha, M Mansour, S Venkatesh, A Van Den Hengel

(2019), pp. 1705-1714, ICCV 2019 : Proceedings of the IEEE International Conference on Computer Vision, Seoul, South Korea, E1

Multi-objective Bayesian optimisation with preferences over objectives

M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh

(2019), Vol. 32, pp. 1-11, NeurIPS 2019 : Proceedings of the 33rd Conference on Neural Information Processing Systems, Vancouver, British Columbia, E1

Sub-linear regret bounds for Bayesian optimisation in unknown search spaces

H Tran-The, S Gupta, S Rana, H Ha, S Venkatesh

(2019), Vol. 2020-December, pp. 1-25, NeurIPS 2019 : Proceedings of the 33rd Conference on Neural Information Processing Systems, Vancouver, British Columbia, E1

Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records

P Nguyen, T Tran, S Venkatesh

(2018), 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, E1

Learning graph representation via frequent subgraphs

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

(2018), Vol. PRDT18, pp. 306-314, SDM 2018 : Proceedings of the SIAM International Conference on Data Mining, San Diego, Calif., E1

Exploiting strategy-space diversity for batch Bayesian optimization

S Gupta, Alistair Shilton, Santu Rana, Svetha Venkatesh

(2018), Vol. 84, pp. 538-547, AISTATS 2018 : Proceedings of the International Conference on Artificial Intelligence and Statistics, Playa Blanca, Lanzarote, Canary Islands, E1

A privacy preserving bayesian optimization with high efficiency

T Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh

(2018), Vol. 10939, pp. 543-555, PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Melbourne, Victoria, E1

Prescriptive analytics through constrained bayesian optimization

Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Kaimal Ramachandra, Svetha Venkatesh

(2018), Vol. 10937, pp. 335-347, PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Melbourne, Victoria, E1

Dual control memory augmented neural networks for treatment recommendations

H Le, T Tran, S Venkatesh

(2018), Vol. 10939, pp. 273-284, PAKDD 2018 : Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Melbourne, Vic., E1

Trans2Vec: Learning transaction embedding via items and frequent itemsets

D Nguyen, T Nguyen, W Luo, S Venkatesh

(2018), Vol. 10939, pp. 361-372, PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Melbourne, Victoria, E1

Efficient Bayesian optimisation using derivative meta-model

A Yang, C Li, S Rana, S Gupta, S Venkatesh

(2018), Vol. 11013, pp. 256-264, PRICAI 2018: Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, E1

Selecting optimal source for transfer learning in Bayesian optimisation

A Ramachandran, S Gupta, S Rana, S Venkatesh

(2018), Vol. 11012, pp. 42-56, PRICAI 2018 : Trends in artificial intelligence : Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, E1

Variational Memory Encoder-Decoder

Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh

(2018), Vol. 31, Advanced in Neural Information Processing Systems 31 (NIPS 2018), Montreal, Canada, E1

Dual memory neural computer for asynchronous two-view sequential learning

Hung Le, Truyen Tran, Svetha Venkatesh

(2018), pp. 1637-1645, ACM SIGKDD 2018 : Proceedings of the 24th International Conference on Knowledge Discovery & Data Mining, London, England, E1

Multi-target optimisation via Bayesian optimisation and linear programming

A Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh

(2018), UAI 2018: Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence, Monterey, Calif., E1

Expected hypervolume improvement with constraints

M Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, svetha Venkatesh

(2018), pp. 3238-3243, ICPR 2018 : Proceedings of the 24th International Conference on Pattern Recognition, Beijing, China, E1

Jointly predicting affective and mental health scores using deep neural networks of visual cues on the web

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

(2018), Vol. 11234, pp. 100-110, WISE 2018 : Web Information Systems Engineering, Dubai, UAE, E1

Sparse approximation for Gaussian process with derivative observations

A Yang, C Li, S Rana, S Gupta, S Venkatesh

(2018), Vol. 11320, pp. 507-518, AI 2018: Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, Wellington, N.Z., E1

Graph memory networks for molecular activity prediction

T Pham, T Tran, S Venkatesh

(2018), pp. 639-644, ICPR 2018: Proceedings of the 24th International Conference on Pattern Recognition, Beijing, China, E1

Knowledge graph embedding with multiple relation projections

K Do, T Tran, S Venkatesh

(2018), pp. 332-337, ICPR 2018: Proceedings of the 24th International Conference on Pattern Recognition, Beijing, China, E1

Accelerating experimental design by incorporating experimenter hunches

C Li, R Santu, S Gupta, V Nguyen, S Venkatesh, A Sutti, D De Celis Leal, T Slezak, M Height, M Mohammed, I Gibson

(2018), Vol. 2018-November, pp. 257-266, IEEE ICDM 2018 : International Conference on Data Mining, Singapore, E1

Differentially private prescriptive analytics

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

(2018), Vol. 2018-November, pp. 995-1000, ICDM 2018 : Proceedings of the IEEE International Conference on Data Mining, Singapore, E1

Algorithmic assurance: an active approach to algorithmic testing using Bayesian optimisation

Shivapratap Gopakumar, Sunil Gupta, Santu Rana, Nguyen Vu, Svetha Venkatesh

(2018), Vol. 31, pp. 1-9, NeurIPS 2018 : Proceedings of the 32nd Conference on Neural Information Processing Systems, Montreal, Canada, E1

One-pass logistic regression for label-drift and large-scale classification on distributed systems

V Nguyen, T Nguyen, T Le, S Venkatesh, D Phung

(2017), pp. 1113-1118, ICDM 2016 : Proceedings of the 16th International Conference on Data Mining 2016, Barcelona, Spain, E1

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

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

High dimensional bayesian optimization with elastic gaussian process

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

(2017), pp. 1-9, ICML 2017 Proceedings of the International Conference in Machine Learning, Sydney, New South Wales, E1

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

Energy-based localized anomaly detection in video surveillance

H Vu, T Nguyen, A Travers, S Venkatesh, D Phung

(2017), Vol. 10234, pp. 641-653, PAKDD 2017 : Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, Jeju, South Korea, E1

High dimensional bayesian optimization using dropout

C Li, S gupta, S Rana, V Nguyen, S Venkatesh, A Shilton

(2017), pp. 2096-2102, IJCAI 2017 : Proceedings of the 26th International Joint Confrerence on Artificial Intelligence, Melbourne, Victoria, E1

Deep learning to attend to risk in ICU

P Nguyen, T Tran, S Venkatesh

(2017), Vol. 1891, pp. 25-29, KDH 2017 : Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data 2017, Melbourne, Victoria, E1

Estimating support scores of autism communities in large-scale web information systems

T Nguyen, H Nguyen, S Venkatesh, D Phung

(2017), Vol. 10569, pp. 347-355, WISE 2017 : Proceedings of the 18th International Conference on Web Information Systems Engineering 2017, Puschino, Russia, E1

Bayesian optimization in weakly specified search space

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

(2017), pp. 347-356, ICDM 2017 : Proceedings of the IEEE International Conference on Data Mining, New Orleans, La., E1

Process-constrained batch Bayesian optimisation

P Vellanki, S Rana, S Gupta, D Rubin, A Sutti, T Dorin, M Height, P Sandars, S Venkatesh

(2017), Vol. 2017-December, pp. 3415-3424, NIPS 2017 : Proceedings of the 31st Conference of Neural Information Processing Systems, Long Beach, California, E1

Regret for expected improvement over the best-observed value and stopping condition

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

(2017), Vol. 77, pp. 279-294, Journal of Machine Learning Research, Seoul, Korea, E1

Prediction of population health indices from social media using kernel-based textual and temporal features

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

(2017), pp. 99-107, WWW 2017 : Proceedings of the 26th International World Wide Web Conference 2017, Perth, W.A., E1

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

Differentially private multi-task learning

S Rana, S Rana, S Gupta, S Gupta, S Venkatesh, 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

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

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

Scalable nonparametric Bayesian multilevel clustering

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

(2016), pp. 289-298, 32nd Conference on Uncertainty in Artificial Intelligence 2016, UAI 2016, E1

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

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

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

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

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

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

Textual cues for online depression in community and personal settings

T Nguyen, S Venkatesh, D Phung

(2016), Vol. 10086, pp. 19-34, ADMA 2016 : Proceedings of the Advanced Data Mining and Applications Conference, Gold Coast, Qld., E1

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

K Do, T Tran, D Phung, S Venkatesh

(2016), Vol. 10086 LNAI, pp. 111-125, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1

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

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

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

Achieving stable subspace clustering by post-processing generic clustering results

D Pham, O Arandjelović, S Venkatesh

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

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

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

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

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

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

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

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

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

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

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

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

Stable clinical prediction using graph support vector machines

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

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

MCNC: multi-channel nonparametric clustering from heterogeneous data

T Nguyen, V Nguyen, S Venkatesh, D Phung

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

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

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

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

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

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

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

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

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

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

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

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

Data-mining twitter and the autism spectrum disorder: A Pilot study

A Beykikhoshk, O Arandjelović, 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, E1

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

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

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

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

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

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

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

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

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

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

Sparse subspace clustering via group sparse coding

B Saha, D Son Pham, D Phung, S Venkatesh

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

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

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

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

TOBY: Early intervention in autism through technology

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

(2013), pp. 3187-3196, Conference on Human Factors in Computing Systems - Proceedings, E1

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

C Li, D Phung, S Rana, S Venkatesh

(2013), Proceedings - IEEE International Conference on Multimedia and Expo, E1

Analysis of psycholinguistic processes and topics in online autism communities

T Nguyen, D Phung, S Venkatesh

(2013), Proceedings - IEEE International Conference on Multimedia and Expo, E1

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

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

Interactive browsing system for anomaly video surveillance

T Nguyen, D Phung, S Gupta, S Venkatesh

(2013), Vol. 1, pp. 384-389, Proceedings of the 2013 IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing: Sensing the Future, ISSNIP 2013, E1

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, 2013 IEEE International Conference on Pervasive Computing and Communications, PerCom 2013, E1

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

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

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

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

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

Emotional reactions to real-world events in social networks

T Nguyen, D Phung, B Adams, S Venkatesh

(2012), Vol. 7104 LNAI, pp. 53-64, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

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

S Gupta, D Phung, S Venkatesh

(2012), pp. 200-211, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012, E1

Improved subspace clustering via exploitation of spatial constraints

D Pham, S Budhaditya, D Phung, S Venkatesh

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

Towards a video browser for the digital native

B Adams, S Greenhill, S Venkatesh

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

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

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

Sparse subspace representation for spectral document clustering

B Saha, D Phung, D Pham, S Venkatesh

(2012), pp. 1092-1097, Proceedings - IEEE International Conference on Data Mining, ICDM, E1

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

S Rana, D Phung, S Pham, S Venkatesh

(2012), ACM International Conference Proceeding Series, E1

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

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

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

A nonparametric Bayesian Poisson gamma model for count data

S Gupta, D Phung, S Venkatesh

(2012), pp. 1815-1818, Proceedings - International Conference on Pattern Recognition, E1

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

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

X Zhang, D Pharn, W Liu, S Venkatesh

(2012), pp. 1675-1678, Proceedings - International Conference on Pattern Recognition, E1

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 6th International AAAI Conference on Weblogs and Social Media, E1

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

S Gupta, D Phung, S Venkatesh

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

Efficient subwindow search with submodular score functions

S An, P Peursum, W Liu, S Venkatesh

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

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

Cognitive intervention in autism using multimedia stimulus

S Venkatesh, S Greenhill, D Phung, B Adams

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

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, E1-1

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

M Mohammedali, B Adams, D Phung, S Venkatesh

(2011), pp. 1201-1206, Conference on Human Factors in Computing Systems - Proceedings, E1-1

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

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

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

Mixed-variate restricted boltzmann machines

T Tran, D Phung, S Venkatesh

(2011), Vol. 20, pp. 213-229, Journal of Machine Learning Research, E1-1

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

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

A matrix factorization framework for jointly analyzing multiple nonnegative data source

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

Detection of cross-channel anomalies from multiple data channels

D Pham, B Saha, D Phung, S Venkatesh

(2011), pp. 527-536, Proceedings - IEEE International Conference on Data Mining, ICDM, E1-1

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 international conference on Multimedia, Scottsdale, Ariz., E1-1

Multi-class pattern classification in imbalanced data

A Ghanem, S Venkatesh, G West

(2010), pp. 2881-2884, Proceedings - International Conference on Pattern Recognition, E1-1

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

Hyper-community detection in the blogosphere

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

(2010), pp. 21-26, WSM'10 - Proceedings of the 2nd ACM SIGMM Workshop on Social Media, Co-located with ACM Multimedia 2010, E1-1

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

W Leoputra, T Tan, S Venkatesh

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

Exploiting monge structures in optimum subwindow search

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

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

Augmenting trust establishment in dynamic systems with social networks

B Lagesse, M Kumar, S Venkatesh, M Lazarescu

(2010), ACM International Conference Proceeding Series, E1-1

Interactively browsing movies in terms of action, foreshadowing and resolution

S Greenhill, B Adams, S Venkatesh

(2010), pp. 197-200, Proceedings of the ACM International Conference on Digital Libraries, E1-1

A fast extension for sparse representation on robust face recognition

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

(2010), pp. 1023-1027, Proceedings - International Conference on Pattern Recognition, E1-1

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

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

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

Ordinal Boltzmann machines for collaborative filtering

T Truyen, D Phung, S Venkatesh

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

Comparative evaluation of pedestrian detection methods for mobile bus surveillance

W Leoputra, S Venkatesh, T Tan

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

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

B Adams, D Phung, S Venkatesh

(2009), pp. 73-80, 1st ACM SIGMM International Workshop on Social Media, WSM'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09, E1-1

Flickr hypergroups

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

(2009), pp. 813-816, MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums, E1-1

Distributed audio network for speech enhancement in challenging noise backgrounds

T Kühnapfel, T Tan, S Venkatesh, B Igel

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

Efficient algorithms for subwindow search in object detection and localization

S An, P Peursum, W Liu, S Venkatesh

(2009), Vol. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 264-271, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, E1-1

A framework for the design of privacy preserving pervasive healthcare

S Moncrieff, S Venkatesh, G West

(2009), pp. 1696-1699, Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009, E1-1

Effective anomaly detection in sensor networks data streams

S Budhaditya, D Pham, M Lazarescu, S Venkatesh

(2009), pp. 722-727, Proceedings - IEEE International Conference on Data Mining, ICDM, E1-1

High accuracy context recovery using clustering mechanisms

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

(2009), 7th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2009, E1-1

Hierarchical semi-Markov conditional random fields for recursive sequential data

T Truyen, D Phung, H Bui, S Venkatesh

(2009), pp. 1657-1664, Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference, E1-1

Model-based character recognition in low resolution

A Kuhl, T Tan, S Venkatesh

(2008), pp. 1001-1004, Proceedings - International Conference on Image Processing, ICIP, E1-1

Temporal semantic compression for video browsing

B Adams, S Greenhill, S Venkatesh

(2008), pp. 293-296, International Conference on Intelligent User Interfaces, Proceedings IUI, E1-1

The hidden permutation model and location-based activity recognition

H Bui, D Phung, S Venkatesh, H Phan

(2008), Vol. 3, pp. 1345-1350, Proceedings of the National Conference on Artificial Intelligence, E1-1

Passenger monitoring in moving bus video

W Leoputra, S Venkatesh, T Tan

(2008), pp. 719-725, 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, E1-1

Pedestrian detection for mobile bus surveillance

W Leoputra, S Venkatesh, T Tan

(2008), pp. 726-732, 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, E1-1

Computable social patterns from sparse sensor data

D Phung, B Adams, S Venkatesh

(2008), Vol. 300, pp. 69-72, ACM International Conference Proceeding Series, E1-1

Exploiting side information in locality preserving projection

S An, W Liu, S Venkatesh

(2008), 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, E1-1

Joint learning and dictionary construction for pattern recognition

D Pham, S Venkatesh

(2008), 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, E1-1

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

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

D Pham, S Venkatesh

(2008), 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, E1-1

Contextual navigation in a multimedia journal

S Greenhill, S Venkatesh

(2008), pp. 833-836, MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops, E1-1

Adaptive speech enhancement with varying noise backgrounds

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

(2008), Proceedings - International Conference on Pattern Recognition, E1-1

Boosting performance for 2D Linear Discriminant Analysis via regression

N Nguyen, W Liu, S Venkatesh

(2008), Proceedings - International Conference on Pattern Recognition, E1-1

Context aware privacy in visual surveillance

S Moncrieff, S Venkatesh, G West

(2008), Proceedings - International Conference on Pattern Recognition, E1-1

Efficient tensor based face recognition

S Rana, W Liu, M Lazarescu, S Venkatesh

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

Learning in imbalanced relational data

A Ghanem, S Venkatesh, G West

(2008), Proceedings - International Conference on Pattern Recognition, E1-1

Model-based combined tracking and resolution enhancement

A Kuhl, T Tan, S Venkatesh

(2008), Proceedings - International Conference on Pattern Recognition, E1-1

Ridge regression for Two Dimensional Locality Preserving Projection

N Nguyen, W Liu, S Venkatesh

(2008), Proceedings - International Conference on Pattern Recognition, E1-1

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

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

Indoor location prediction using multiple wireless received signal strengths

K Tran, D Phung, B Adams, S Venkatesh

(2008), Vol. 87, pp. 187-192, Conferences in Research and Practice in Information Technology Series, E1-1

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

T Kühnapfel, T Tan, S Venkatesh, E Lehmann

(2007), Vol. 2, pp. 741-744, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, E1-1

Face recognition using kernel ridge regression

S An, W Liu, S Venkatesh

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

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

P Peursum, S Venkatesh, G West

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

Dynamic privacy in a smart house environment

S Moncrieff, S Venkatesh, G West

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

Distributed query processing for mobile surveillance

S Greenhill, S Venkatesh

(2007), pp. 413-422, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1

Privacy and the access of information in a smart house environment

S Moncrieff, S Venkatesh, G West

(2007), pp. 671-680, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1

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-, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1

Infrequent item mining in multiple data streams

B Saha, M Lazarescu, S Venkatesh

(2007), pp. 569-574, Proceedings - IEEE International Conference on Data Mining, ICDM, E1-1

Generating comprehensible summaries of rushes sequences based on robust feature matching

B Truong, S Venkatesh

(2007), pp. 30-34, Proceedings of the International Workshop on TRECVID Video Summarization, TVS '07, Co-located with the ACM Multimedia 2007, MM'07, E1-1

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

B Truong, S Venkatesh

(2007), Vol. 4351 LNCS, pp. 636-648, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

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

Utility-based summarization of home videos

B Truong, S Venkatesh

(2007), Vol. 4351 LNCS, pp. 505-516, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

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

Face recognition via the overlapping energy histogram

R Tjahyadi, W Liu, S An, S Venkatesh

(2007), pp. 2891-2896, IJCAI International Joint Conference on Artificial Intelligence, E1-1

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

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

D Tran, D Phung, H Bui, S Venkatesh

(2006), Vol. 3, pp. 168-172, Proceedings - International Conference on Pattern Recognition, E1-1

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

S An, W Liu, S Venkatesh

(2006), Vol. 3, pp. 240-244, Proceedings - International Conference on Pattern Recognition, E1-1

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

T Duong, D Phung, H Bui, S Venkatesh

(2006), Vol. 3, pp. 202-207, Proceedings - International Conference on Pattern Recognition, E1-1

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

P Peursum, S Venkatesh, G West

(2006), Vol. 4, pp. 929-934, Proceedings - International Conference on Pattern Recognition, E1-1

Unifying background models over complex audio using entropy

S Moncrieff, S Venkatesh, G West

(2006), Vol. 4, pp. 249-253, Proceedings - International Conference on Pattern Recognition, E1-1

A smith-waterman local alignment approach for spatial activity recognition

D Riedel, S Venkatesh, W Liu

(2006), Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006, E1-1

Browsing personal media archives with spatial context using panoramas

B Adams, S Greenhill, S Venkatesh

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

Extraction of social context and application to personal multimedia exploration

B Adams, D Phung, S Venkatesh

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

Virtual observers in a mobile surveillance system

S Greenhill, S Venkatesh

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

Narrative structure detection through audio pace

S Moncrieff, S Venkatesh

(2006), Vol. 2006, pp. 20-27, MMM2006: 12th International Multi-Media Modelling Conference - Proceedings, E1-1

An embedded suggestive interface for making home videos

B Adams, S Venkatesh

(2006), Vol. 2006, pp. 2025-2028, 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings, E1-1

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 British Machine Vision Conference 2006, E1-1

Curtin at TRECVID 2006 - Rushes summarization

B Truong, S Venkatesh

(2006), 2006 TREC Video Retrieval Evaluation Notebook Papers, E1-1

Fast cross-validation of kernel fisher discriminant classifiers

S An, W Liu, S Venkatesh

(2005), Vol. 2005, pp. 22-27, Proceedings - ICMLA 2005: Fourth International Conference on Machine Learning and Applications, E1-1

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

P Peursum, G West, S Venkatesh

(2005), Vol. I, pp. 82-89, Proceedings of the IEEE International Conference on Computer Vision, E1-1

A fast kernel dimension reduction algorithm with applications to face recognition

S An, W Liu, S Venkatesh, R Tjahyadi

(2005), pp. 3369-3376, 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005, E1-1

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

T Duong, H Bui, D Phung, S Venkatesh

(2005), Vol. I, pp. 838-845, Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, E1-1

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

N Nguyen, D Phung, S Venkatesh, H Bui

(2005), Vol. II, pp. 955-960, Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, E1-1

A probabilistic approach to the anxious home for activity monitoring

G West, S Greenhill, S Venkatesh

(2005), Vol. 1, pp. 335-340, Proceedings - International Computer Software and Applications Conference, E1-1

Boosted Markov networks for activity recognition

T Truyen, H Bui, S Venkatesh

(2005), Vol. 2005, pp. 289-294, Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, E1-1

Emergent intertransaction association rules for abnormality detection in intelligent environments

S Lühr, S Venkatesh, G West

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

Face recognition based on ordinal correlation approach

R Tjahyadi, L Wanquan, S An, S Venkatesh

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

Factored State-Abstract Hidden Markov Models for activity recognition using pervasive multi-modal sensors

D Tran, D Phung, H Bui, S Venkatesh

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

Incorporating contextual audio for an actively anxious smart home

S Moncrieff, S Venkatesh, G West, S Greenhill

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

Online context recognition in multisensor systems using Dynamic Time Warping

M Ko, G West, S Venkatesh, M Kumar

(2005), Vol. 2005, pp. 283-288, Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, E1-1

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

D Riedel, S Venkatesh, L Wanquan

(2005), Vol. 2005, pp. 301-306, Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, E1-1

Finding the optimal temporal partitioning of video sequences

B Truong, S Venkatesh

(2005), Vol. 2005, pp. 1182-1185, IEEE International Conference on Multimedia and Expo, ICME 2005, E1-1

Injection, detection and repair of aesthetics in home movies

B Adams, S Venkatesh

(2005), Vol. 2005, pp. 4-8, IEEE International Conference on Multimedia and Expo, ICME 2005, E1-1

Persistent audio modelling for background determination

S Moncrieff, S Venkatesh, G West

(2005), Vol. 2005, pp. 4-7, IEEE International Conference on Multimedia and Expo, ICME 2005, E1-1

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

Situated event bootstrapping and capture guidance for automated home movie authoring

B Adams, S Venkatesh

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

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

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

D Phung, T Duong, S Venkatesh, H Bui

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

Discovery of activity structures using the hierarchical hidden Markov model

N Nguyen, S Venkatesh

(2005), BMVC 2005 - Proceedings of the British Machine Vision Conference 2005, E1-1

Dynamic shot suggestion filtering for home video based on user performance

B Adams, S Venkatesh

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

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

T Duong, D Phung, H Bui, S Venkatesh

(2005), Vol. 2005, pp. 277-282, Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference, E1-1

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

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-, ACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia, E1-1

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, E1-1

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

D Phung, S Venkatesh, H Bui

(2004), Vol. 3, pp. 1605-1608, Proceedings - International Conference on Image Processing, ICIP, E1-1

Human action segmentation via controlled use of missing data in HMMs

P Peursum, H Bui, S Venkatesh, G West

(2004), Vol. 4, pp. 440-445, Proceedings - International Conference on Pattern Recognition, E1-1

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, E1-1

Discovering semantics from visualizations of film takes

B Truong, S Venkatesh, C Dorai

(2004), pp. 109-116, Proceedings - 10th International Multimedia Modelling Conference, MMM 2004, E1-1

Segmentation of intentional human gestures for sports video annotation

G Chambers, S Venkatesh, G West, H Bui

(2004), pp. 124-129, Proceedings - 10th International Multimedia Modelling Conference, MMM 2004, E1-1

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

B Adams, S Venkatesh

(2004), pp. 367-, Proceedings - 10th International Multimedia Modelling Conference, MMM 2004, E1-1

Application of the DCT energy histogram for face recognition

R Tjahyadi, W Liu, S Venkatesh

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

IMCE: Integrated media creation environment

B Adams, S Venkatesh, R Jain

(2004), Vol. 2, pp. 835-838, 2004 IEEE International Conference on Multimedia and Expo (ICME), E1-1

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

Recognising and monitoring high-level behaviours in complex spatial environments

N Nguyen, H Bui, S Venkatesh, G West

(2003), Vol. 2, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, E1-1

Object labelling from human action recognition

P Peursum, S Venkatesh, G West, H Bui

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

Recognition of human activity through hierarchical stochastic learning

S Lühr, H Bui, S Venkatesh, G West

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

Using selective memory to track concept drift effectively

M Lazarescu, S Venkatesh

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

Hierarchical topical segmentation in instructional films based on cinematic expressive functions

D Phung, S Venkatesh, C Dorai

(2003), pp. 287-290, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1

Weaving stories in digital media: When Spielberg makes home movies

B Adams, S Venkatesh

(2003), pp. 207-210, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1

Horror film genre typing and scene labeling via audio analysis

S Moncrieff, S Venkatesh, C Dorai

(2003), Vol. 2, pp. II193-II196, Proceedings - IEEE International Conference on Multimedia and Expo, E1-1

Identifying film takes for cinematic analysis

B Truong, S Venkatesh, C Dorai

(2003), Vol. 2, pp. II405-II408, Proceedings - IEEE International Conference on Multimedia and Expo, E1-1

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

B Adams, C Dorai, S Venkatesh, H Bui

(2003), Vol. 2, pp. II453-II456, Proceedings - IEEE International Conference on Multimedia and Expo, E1-1

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

D Phung, S Venkatesh, C Dorai

(2003), Vol. 2, pp. II449-II452, Proceedings - IEEE International Conference on Multimedia and Expo, E1-1

Using camera motion to identify types of American football plays

M Lazarescu, S Venkatesh

(2003), Vol. 2, pp. II181-II184, Proceedings - IEEE International Conference on Multimedia and Expo, E1-1

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

W Lau, M Kumar, S Venkatesh

(2002), pp. 56-63, Proceedings of the fifth ACM International Workshop on Wireless Mobile Multimedia, E1-1

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

B Truong, S Venkatesh, C Dorai

(2002), pp. 339-342, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1

High level segmentation of instructional videos based on content density

D Phung, S Venkatesh, C Dorai

(2002), pp. 295-298, Proceedings of the ACM International Multimedia Conference and Exhibition, E1-1

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

N Nguyen, S Venkatesh, G West, H Bui

(2002), Vol. 16, pp. 13-16, Proceedings - International Conference on Pattern Recognition, E1-1

Hierarchical recognition of intentional human gestures for sports video annotation

G Chambers, S Venkatesh, G West, H Bui

(2002), Vol. 16, pp. 1082-1085, Proceedings - International Conference on Pattern Recognition, E1-1

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

Q Phungt, C Dorai, S Venkatesh

(2002), Vol. 16, pp. 835-838, Proceedings - International Conference on Pattern Recognition, E1-1

Neighborhood coherence and edge based approaches to film scene extraction

B Truong, S Venkatesh, C Dorai

(2002), Vol. 16, pp. 350-353, Proceedings - International Conference on Pattern Recognition, E1-1

Temporal PDMs for gait classification

E Tassone, G West, S Venkatesh

(2002), Vol. 16, pp. 1065-1068, Proceedings - International Conference on Pattern Recognition, E1-1

On the automatic indexing of cricket using camera motion parameters

M Lazarescu, S Venkatesh, G West

(2002), Vol. 1, pp. 809-812, Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002, E1-1

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

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

W Lau, M Kumar, S Venkatesh

(2002), Vol. 2571, pp. 12-23, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

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

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

M Lazarescu, A Turpin, S Venkatesh

(2002), Vol. 2396, pp. 243-251, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

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

Comparing shape and temporal PDMs

E Tassone, G West, S Venkatesh

(2002), Vol. 2396, pp. 195-204, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

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

Film grammar based refinements to extracting scenes in motion pictures

B Truong, S Venkatesh, C Dorai

(2002), Vol. 1, pp. 281-284, Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002, E1-1

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

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

W Lau, M Kumar, S Venkatesh

(2001), pp. 265-, Proceedings of the Hawaii International Conference on System Sciences, E1-1

Affect computing in film through sound energy dynamics

S Moncrieff, C Dorai, S Venkatesh

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

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

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

W Lau, M Kumar

(2001), IEEE International Conference on Multimedia and Expo, 2001. ICME 2001., E1-1

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

Analysis of Environmental Sounds as Indexical Signs in Film

Simon Moncrieff, Svetha Venkatesh, Chita Dorai

(2001), pp. 538-545, Advances in Multimedia Information Processing — PCM 2001, E1-1

Automated film rhythm extraction for scene analysis

B Adams, C Dorai, S Venkatesh

(2001), pp. 849-852, Proceedings - IEEE International Conference on Multimedia and Expo, E1-1

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

Detecting indexical signs in film audio for scene interpretation

S Moncrieff, C Dorai, S Venkatesch

(2001), IEEE International Conference on Multimedia and Expo, 2001. ICME 2001., E1-1

Determining dramatic intensification via flashing lights in movies

B Truong, S Venkatesh

(2001), pp. 60-63, Proceedings - IEEE International Conference on Multimedia and Expo, E1-1

Effect of speculative prefetching on network load in distributed systems

N Tuah, M Kumar, S Venkatesh

(2001), Proceedings - 15th International Parallel and Distributed Processing Symposium, IPDPS 2001, E1-1

Improved fade and dissolve detection for reliable video segmentation

B Truong, C Dorai, S Venkatesh

(2000), Vol. 3, pp. 961-964, IEEE International Conference on Image Processing, E1-1

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

B Adams, C Dorai, S Venkatesh

(2000), Vol. 2, pp. 283-286, IEEE International Conference on Image Processing, E1-1

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

N Tuah, M Kumar, S Venkatesh

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

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

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

(2000), Vol. 1, pp. 551-554, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, E1-1

Towards automatic extraction of expressive elements from motion pictures: Tempo

B Adams, C Dorai, S Venkatesh

(2000), pp. 641-644, IEEE International Conference on Multi-Media and Expo, E1-1

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

B Truong, C Dorai, S Venkatesh

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

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

B Adams, C Dorai, S Venkatesh

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

A probabilistic framework for tracking in wide-area environments

H Bui, S Venkatesh, G West

(2000), Vol. 15, pp. 702-705, Proceedings-International Conference on Pattern Recognition, E1-1

Automatic genre identification for content-based video categorization

B Truong, S Venkatesh, C Dorai

(2000), Vol. 15, pp. 230-233, Proceedings - International Conference on Pattern Recognition, E1-1

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), Vol. 15, pp. 652-655, Proceedings - International Conference on Pattern Recognition, E1-1

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

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

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

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

Determining motion components using the point distribution model

E Tassone, G West, S Venkatesh

(2000), Vol. 1948, pp. 363-370, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

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

Graph matching: Fast candidate elimination using machine learning techniques

M Lazarescu, H Bunke, S Venkatesh

(2000), Vol. 1876 LNCS, pp. 236-245, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

Empirical study of neighbourhood decay in Kohonen's self organizing map

R Keith-Magee, S Venkatesh, M Takatsuka

(1999), Vol. 3, pp. 1953-1958, Proceedings of the International Joint Conference on Neural Networks, E1-1

Performance model of speculative prefetching in distributed information systems

N Tuah, M Kumar, S Venkatesh

(1999), pp. 75-80, Proceedings of the International Parallel Processing Symposium, IPPS, E1-1

Low-cost interactive active monocular range finder

M Takatsuka, G West, S Venkatesh, T Caelli

(1999), Vol. 1, pp. 444-449, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, E1-1

Detection of setting and subject information in documentary video

K Shearer, S Venkatesh

(1999), Vol. 1, pp. 797-801, International Conference on Multimedia Computing and Systems -Proceedings, E1-1

On the automated interpretation and indexing of American football

M Lazarescu, S Venkatesh, G West, T Caelli

(1999), Vol. 1, pp. 802-806, International Conference on Multimedia Computing and Systems -Proceedings, E1-1

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

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

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

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

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

Symbolic representation and distributed matching strategies for schematics

M Takatsuka, T Caelli, G West, S Venkatesh

(1999), pp. 697-700, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, E1-1

The importance of neighbourhood size in self organising systems

R Keith-Magee, S Venkatesh, M Takatsuka

(1999), Vol. 1, pp. 267-272, ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings, E1-1

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

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

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

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

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

Classifying and learning cricket shots using camera motion

M Lazarescu, S Venkatesh, G West

(1999), Vol. 1747, pp. 13-23, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

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

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

Investigation of a prefetch model for low bandwidth networks

N Tuah, M Kumar, S Venkatesh

(1998), pp. 38-47, Proceedings of the 1st ACM International Workshop on Wireless Mobile Multimedia, WOWMOM 1998, E1-1

Rapid isomorphism detection

K Shearer, S Venkatesh

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

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

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

A framework for coordination and learning among teams of agents

H Bui, S Venkatesh, D Kieronska

(1998), Vol. 1441, pp. 164-178, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

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

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

Optimal communication among team members

H Bui, D Kieronska, S Venkatesh

(1997), Vol. 1342, pp. 116-126, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

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

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

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

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

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

R Smith, D Kieronska, S Venkatesh

(1996), Vol. 2670, pp. 96-107, Proceedings of SPIE - The International Society for Optical Engineering, E1-1

Parallel matrix inversion techniques

K Lau, M Kumar, S Venkatesh

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

Distributed directory scheme for information access in mobile computers

M Kumar, S Venkatesh, S Panchanathan

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

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

F Lim, S Venkatesh, G West

(1996), Vol. 2657, pp. 338-349, Proceedings of SPIE - The International Society for Optical Engineering, E1-1

Adaptive depletion for improvement of MPEG video compression

D Tan, S Venkatesh, G West

(1996), Vol. 2668, pp. 154-168, Proceedings of SPIE - The International Society for Optical Engineering, E1-1

Learning other agents' preferences in multiagent negotiation

H Bui, D Kieronska, S Venkatesh

(1996), Vol. 1, pp. 114-119, Proceedings of the National Conference on Artificial Intelligence, E1-1

Insect inspired behaviours for the autonomous control of mobile robots

K Weber, S Venkatesh, M Srinivasan

(1996), Vol. 1, pp. 156-160, Proceedings - International Conference on Pattern Recognition, E1-1

Media-independent information representation and retrieval

D Kieronska, S Venkatesh

(1996), Vol. 2670, pp. 415-425, Proceedings of SPIE - The International Society for Optical Engineering, E1-1

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

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

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

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

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

Resolution consideration in spatially variant sensors

E Lim, S Venkatesh, G West

(1996), Vol. 1, pp. 795-799, Proceedings - International Conference on Pattern Recognition, E1-1

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

Tracking in a space variant active vision system

E Lim, G West, S Venkatesh

(1996), Vol. 1, pp. 745-749, Proceedings - International Conference on Pattern Recognition, E1-1

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

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

Two-dimensional string notation for representing video sequences

K Shearer, D Kieronska, S Venkatesh

(1995), Vol. 2606, pp. 389-400, Proceedings of SPIE - The International Society for Optical Engineering, E1-1

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

A point-based representation for intervals

A Travers, S Venkatesh, D Kieronska

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

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

Video indexing by spatial representation

R Liang, S Venkatesh, D Kieronska

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

A multi-agent incremental negotiation scheme for meetings scheduling

H Bui, S Venkatesh, D Kieronska

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

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

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

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

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

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

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

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

C Lam, G West, S Venkatesh

(1994), pp. 818-822, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, E1-1

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 IEEE CAD-Based Vision Workshop, E1-1

Indexing of video data

D Kieronska, S Venkatesh

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

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

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

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

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

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

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

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

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

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

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

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

Agents in adversarial domains-Modelling environments in parallel

T Ly, S Venkatesh, D Kieronska

(1993), pp. 81-87, Proceedings - 4th Annual Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 1993, E1-1

Deriving ambiguous spatial relations

A Travers, D Kieronska, S Venkatesh

(1993), pp. 47-53, Proceedings - 4th Annual Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 1993, E1-1

Dynamic threshold determination by local and global edge evaluation

S Venkatesh, P Rosin

(1993), Vol. 1964, pp. 40-50, Proceedings of SPIE - The International Society for Optical Engineering, E1-1

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

Local energy, the pre-envelope, and filter resolution

S Venkatesh, J Cooper, B White

(1992), Vol. 3, pp. 13-17, Proceedings - International Conference on Pattern Recognition, E1-1

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

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

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

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

Spatial reasoning by active observation

S Venkatesh, D Kieronska

(1992), pp. 147-153, Proceedings of the 3rd Annual Conference of AI, Simulation and Planning in High Autonomy Systems: Integrating Perception, Planning and Action, E1-1

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

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

Deduction of high level spatial relations

D Kitronska, S Venkatesh

(1992), Vol. 1992-August, pp. 684-687, IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, E1-1

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

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

Planning with events and states

D Kieronska, S Venkatesh, C Tsang

(1991), pp. 181-186, Proceedings of the 2nd Annual Conference on AI, Simulation and Planning in High Autonomy Systems: Integrating Qualitative and Quantitative System Knowledge, AIHAS 1991, E1-1

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

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

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

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

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

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