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TSMC
2008
146views more  TSMC 2008»
14 years 9 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
CVPR
2003
IEEE
15 years 12 months ago
Constrained Subspace Modelling
When performing subspace modelling of data using Principal Component Analysis (PCA) it may be desirable to constrain certain directions to be more meaningful in the context of the...
Jaco Vermaak, Patrick Pérez
ICMCS
2007
IEEE
137views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Wireless Video Streaming with Collaborative Admission Control for Home Networks
Limited bandwidth and high packet loss pose a serious challenge for video streaming over wireless networks. Even when packet loss in the medium is not present, the fluctuating ava...
Monchai Lertsutthiwong, Thinh Nguyen, Alan Fern
IJRR
2008
115views more  IJRR 2008»
14 years 9 months ago
Planning High-quality Paths and Corridors Amidst Obstacles
The motion-planning problem, involving the computation of a collision-free path for a moving entity amidst obstacles, is a central problem in fields like Robotics and Game Design....
Ron Wein, Jur P. van den Berg, Dan Halperin
TMM
2008
126views more  TMM 2008»
14 years 9 months ago
Extraction of Audio Features Specific to Speech Production for Multimodal Speaker Detection
A method that exploits an information theoretic framework to extract optimized audio features using video information is presented. A simple measure of mutual information (MI) betw...
Patricia Besson, Vlad Popovici, Jean-Marc Vesin, J...