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AIC Seminar Series

Modeling Sensor Data with Infinite Latent Subspace

Dinh PhungCurtin University of Technology, Australia[Home Page]

Notice:  Hosted by Hung Bui.

Date:  2011-05-02 at 16:00

Location:  EJ228 (SRI E building)  (Directions)

   Abstract

The talk will briefly present two real-time systems which have been developed in surveillance and social media. Motivations are given to the need for model selection, subsequently advocating Bayesian nonparametric paradigm. The next part of the talk will touch briefly on Dirichlet Process, Dirichlet Process Mixture and its applications to surveillance camera profile estimation, burst detection (with infinite burst levels), and social media.

   Bio for Dinh Phung

Dinh Phung is currently a Research Fellow in the department of computing, Curtin University of Technology, Perth, Western Australia. He obtained a bachelor of computer science with first class honours and a PhD from Curtin University in 2001 and 2005 respectively. His research interests are machine learning, probabilistic graphical models and their applications to activity recognition, multimedia, social and pervasive computing.

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