Deakin Research

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Centre for Pattern Recognition and Data Analytics
School of Information Technology
Deakin University
Locked Bag 20000
GEELONG VIC 3220

Conference Proceedings

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2013

[1] O. Arandjelović. Computer simulation based parameter selection for resistance exercise. In Modelling and Simulation, Dallas, USA, August 2013. (to appear).
[2] O. Arandjelović. Discriminative k-means clustering. In International Joint Conference on Neural Networks, Dallas, USA, August 2013. (to appear).
[3] O. Arandjelović. Making the most of the self-quotient image in face recognition. In IEEE International Conference on Face and Gesture Recognition, Shanghai, China, April 2013. (to appear).
[4] O. Arandjelović. Vesselness features and the inverse compositional AAM for robust face recognition using thermal IR. In AAAI Conference on Artificial Intelligence, Bellevue, USA, July 2013. (to appear).
[5] Saha Budhaditya, Duc-Son Pham, Dinh Phubg, and Svetha Venkatesh. Sparse subspace clustering via group sparse coding. In SIAM International Conference on Data Mining, SDM '13, 2013.
[6] T. Duong, S. Venkatesh, S. Greenhill, D. Phung, W. Marshall, and D. Cairns. Toby: Therapy outcomes by you. page (poster), Melbourne, Australia, 2013.
[7] R. S. Ghiass, O. Arandjelović, A. Bendada, and X. Maldague. Illumination-invariant face recognition from a single image across extreme pose using a dual dimension AAM ensemble in the thermal infrared spectrum. In International Joint Conference on Neural Networks, Dallas, USA, August 2013. (to appear).
[8] R. S. Ghiass, O. Arandjelović, A. Bendada, and X. Maldague. Infrared face recognition: a literature review. In International Joint Conference on Neural Networks, Dallas, USA, August 2013. (to appear).
[9] S.K. Gupta, D. Phung, and S. Venkatesh. Factorial multi-task learning : A bayesian nonparametric approach. In Proceedings of the 30th International Conference on Machine Learning, page (accepted), Atlanta, USA, 2013.
[10] C. Li, D. Phung, S. Rana, and S. Venkatesh. Exploiting side information in distance dependent chinese restaurant processes for data clustering. In The 2013 IEEE International Conference on Multimedia and Expo (ICME 2013), San Jose, California, USA, July, 2013 2013.
[11] T.C. Nguyen, D. Phung, S. Gupta, and S. Venkatesh. Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes. In 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom 2013), pages 47-55, San Diego, USA, 2013.
[12] Thin Nguyen, Bo Dao, Dinh Phung, Svetha Venkatesh, and Michael Berk. Online social capital: Mood, topical and psycholinguistic analysis. In AAAI Int. Conf on Weblogs and Social Media (ICWSM), 2013.
[13] Thin Nguyen, Dinh Phung, and Svetha Venkatesh. Analysis of psycholinguistic processes and topics in online autism communities. In The IEEE International Conference on Multimedia and Expo (ICME), 2013.
[14] Tien V. Nguyen, D. Phung, , and S. Venkatesh. Topic model kernel: An empirical study towards probabilistically reduced features for classification. In 20st International Conference on Neuron Information Processing (ICONIP), 2013.
[15] Tu Dinh Nguyen, Truyen Tran, Dinh Phung, and Svetha Venkatesh. Latent patient profile modelling and applications with mixed-variate restricted Boltzmann machine. In Advances in Knowledge Discovery and Data Mining, volume 7818, pages 123-135, Gold Coast, Queensland, Australia, April 14-17 2013. Springer-Verlag Berlin Heidelberg.
[16] Tu Dinh Nguyen, Truyen Tran, Dinh Phung, and Svetha Venkatesh. Learning parts-based representations with nonnegative restricted boltzmann machine. In Proc. of Asian Conference on Machine Learning (ACML), page (To Appear), Canberra, Australia, November 13-15 2013.
[17] Tu Dinh Nguyen, Truyen Tran, Dinh Phung, and Svetha Venkatesh. Learning sparse latent representation and distance metric for image retrieval. In Proc. of IEEE International Conference on Multimedia & Expo, California, USA, July 15-19 2013.
[18] T.V. Nguyen, D. Phung, S. Gupta, and S. Venkatesh. Interactive browsing system for anomaly video surveillance. In 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing ( ISSNIP 2013 ), page (accepted), Melbourne, Australia, 2013.
[19] S. Rana, D. Phung, and S. Venkatesh. Split-merge augmented gibbs sampling for hierarchical dirichlet processes. In 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD'13, 2013.
[20] B. Saha, D.Q. Phung, D.S. Pham, and S. Venkatesh. Clustering patient medical records via sparse subspace representation. In 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD'13, 2013.
[21] T. Tran, D. Phung, W. Luo, R. Harvey, M. Berk, and S. Venkatesh. An integrated framework for suicide risk prediction. In Proc. of ACM Int. Conf. on Knowledge Discovery and Data Mining (SIGKDD), 2013.
[22] S. Venkatesh, S. Greenhill, D. Phung, T. Duong, B. Adams, W. Marshall, and D. Cairns. Toby: Therapy outcomes by you. page (poster), Portland, Oregon, USA, 2013.
[23] S. Venkatesh, D. Phung, T. Duong, S. Greenhill, B. Adams, and D. Moore. Measurable learning outcomes in ipad-based intervention toby playpad. page poster, Basque Country, Spain, 2013.
[24] S. Venkatesh, D. Phung, S. Greenhill, T. Duong, and B. Adams. Toby: Early intervention in autism through technology. In ACM SIGCHI Conference on Human Factors in Computing Systems Proceedings, Paris, France, April-May 2013. (to appear).

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13th January 2014