Deakin Research

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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[2014] [2013] [2012] [2011] [2010] [2009] [2008] [2007] [2006] [2005] [2004] [2003] [2002] [2001] [2000] [1999-1995] [1994-1989]

2011

[1] B. Adams, D. Phung, and S. Venkatesh. Eventscapes: Visualizing events over time with emotive facets. In accepted for ACM International Conference on Multimedia (MM'11), 2011.
[2] Senjian An, Patrick Peursum, Wanquan Liu, and Svetha Venkatesh. Efficient subwindow search with submodular score functions. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE CS Press, 2011.
[3] S. Gupta, D. Phung, B. Adams, and S. Venkatesh. A Bayesian framework for learning shared and individual subspaces from multiple data sources. In Proc. of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Shenzen, China, May 24-27 2011. [ .pdf ]
[4] S. Gupta, D. Phung, B. Adams, and S. Venkatesh. A matrix factorization framework for jointly analyzing multiple nonnegative data sources. In Procs. of Text Mining Workshop, in conjuction with SIAM Int. Conf. on Data Mining, Arizona, USA, April 28-30 2011. [ .pdf ]
[5] M. Mohammedali, D. Phung, B. Adams, and S. Venkatesh. A context-sensitive device to help people with autism cope with anxiety. In Procs. of ACM Conf. on Human Factors in Computing Systems (CHI) (work-in-progress track), Vancouver, BC, Canada, May 7-12 2011.
[6] T. Nguyen, D. Phung, B. Adams, and S. Venkatesh. Prediction of age, sentiment, and connectivity from social media text. In The 12th International Conference on Web Information System Engineering (WISE 2011), Sydney, Australia, Oct. 12-14 2011.
[7] T. Nguyen, D. Phung, B. Adams, and S. Venkatesh. Towards discovery of influence and personality traits through social link prediction. In AAAI Int. Conf on Weblogs and Social Media (ICWSM-11), Barcelona, Spain, July 17-21 2011.
[8] T. Nguyen, Dinh Phung, Brett Adams, and Svetha Venkatesh. Emotional reactions to real-world events in social networks. In Proc. of International Workshop on Behavior Informatics (BI-11), in conjunction with the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-11), 2011. [ .pdf ]
[9] Duc-Son Pham, Saha Budhaditya, Dinh Phung, and Svetha Venkatesh. Detection of Cross-Channel Anomalies From Multiple Data Channels. In Proceedings of the IEEE International Conference on Data Mining, Vancouver, Canada, December 2011.
[10] Duc-Son Pham and Svetha Venkatesh. Supervised Subspace Learning with Multi-Class Lagrangian SVM on the Grassmann Manifold. In Proceedings of the Australasian Joint Conference on Artifical Intelligence (AI'2011), Perth, Australia, December 2011.
[11] T. Tran, D.Q Phung, and S. Venkatesh. Mixed-variate restricted Boltzmann machines. In Proc. of 3rd Asian Conference on Machine Learning, Taoyuan, Taiwan, 2011. [ .pdf ]
[12] T. Truyen, D.Q Phung, and S. Venkatesh. Probabilistic models over ordered partitions with applications in document ranking and collaborative filtering. In Proc. of SIAM Conference on Data Mining (SDM11), Mesa, Arizona, USA, 2011. SIAM. [ .pdf ]
[13] S. Venkatesh, S. Greenhill, D. Phung, and B. Adams. Cognitive intervention in autism using multimedia stimulus. In accepted for ACM International Conference on Multimedia (MM'11), 2011. [ .pdf ]

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13th January 2014