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» Learning to Track with Multiple Observers
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ML
1998
ACM
101views Machine Learning» more  ML 1998»
13 years 7 months ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto
ICASSP
2010
IEEE
13 years 8 months ago
Distributed learning in cognitive radio networks: Multi-armed bandit with distributed multiple players
—We consider a cognitive radio network with distributed multiple secondary users, where each user independently searches for spectrum opportunities in multiple channels without e...
Keqin Liu, Qing Zhao
ICPR
2002
IEEE
14 years 8 months ago
Two-Hand Gesture Recognition using Coupled Switching Linear Model
We present a method coupling multiple switching linear models. The coupled switching linear model is an interactive process of two switching linear models. Coupling is given throu...
Mun Ho Jeong, Yoshinori Kuno, Nobutaka Shimada, Yo...
FGR
2006
IEEE
125views Biometrics» more  FGR 2006»
14 years 1 months ago
Reliable and Fast Tracking of Faces under Varying Pose
This paper presents a system that is able to track multiple faces under varying pose (tilted and rotated) reliably in real-time. The system consists of two interactive modules. Th...
Tao Yang, Stan Z. Li, Quan Pan, Jing Li, Chunhui Z...
BCSHCI
2008
13 years 9 months ago
Can technology-rich spaces support multiple uses?
A number of technology-rich spaces have been designed and created over the last few years with the purpose of supporting and enhancing learning, collaboration, community participa...
Nadia Pantidi, Hugh Robinson, Yvonne Rogers