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SUMMARY:An application of HDP And IBP for stream-based action recognition 
 and high dimensional data - Ava Bargi : University of Technology\, Sydney
DTSTART:20130311T113000Z
DTEND:20130311T120000Z
UID:TALK43950@talks.cam.ac.uk
CONTACT:Zoubin Ghahramani
DESCRIPTION:The dynamism of Bayesian non-parametric methods in making data
 -driven decisions based on infinite models\, has motivated many studies in
  various fields. This talk presents the application of HDP switching model
 s in action recognition for video data. We have proposed a stream-based on
 line model\, capable of adaptive learning of unlimited actions with real-t
 ime performance. Results on three action datasets prove a remarkable perfo
 rmance.\nThis study is further followed by integrating other BNP models li
 ke IBP to enhance pattern recognition in high-dimensional contexts.
LOCATION:Engineering Department\, CBL Room BE-438
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