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TSMC
2008
146views more  TSMC 2008»
13 years 8 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
JVCA
2007
125views more  JVCA 2007»
13 years 8 months ago
Crowd motion capture
In this paper a new and original technique to animate a crowd of human beings is presented. Following the success of data-driven animation models (such as motion capture) in the c...
Nicolas Courty, Thomas Corpetti
TWC
2008
225views more  TWC 2008»
13 years 8 months ago
Joint rate and power allocation for cognitive radios in dynamic spectrum access environment
Abstract--We investigate the dynamic spectrum sharing problem among primary and secondary users in a cognitive radio network. We consider the scenario where primary users exhibit o...
Dong In Kim, Long Le, Ekram Hossain
IJCV
2000
195views more  IJCV 2000»
13 years 8 months ago
Optical Flow Constraints on Deformable Models with Applications to Face Tracking
Optical flow provides a constraint on the motion of a deformable model. We derive and solve a dynamic system incorporating flow as a hard constraint, producing a model-based least...
Douglas DeCarlo, Dimitris N. Metaxas
DSS
2002
82views more  DSS 2002»
13 years 8 months ago
On the discovery of process models from their instances
A thorough understanding of the way in which existing business processes currently practice is essential from the perspectives of both process reengineering and workflow managemen...
San-Yih Hwang, Wan-Shiou Yang