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JAIR
2002
163views more  JAIR 2002»
15 years 4 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
CVPR
2009
IEEE
16 years 11 months ago
Physiological Face Recognition Is Coming of Age
The previous work of the authors has shown that physiological information on the face can be extracted from thermal infrared imagery and can be used as a biometric. Although, th...
Pradeep Buddharaju (University of Houston), Ioanni...
ICRA
2005
IEEE
140views Robotics» more  ICRA 2005»
15 years 10 months ago
Fast Reinforcement Learning for Vision-guided Mobile Robots
— This paper presents a new reinforcement learning algorithm for accelerating acquisition of new skills by real mobile robots, without requiring simulation. It speeds up Q-learni...
Tomás Martínez-Marín, Tom Duc...
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
15 years 8 months ago
Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation
The toxicity of an anticancer drug is cleared from the body by different processes, including saturable metabolic and nonsaturable renal-excretion pathways. According to the princ...
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
TMM
2008
112views more  TMM 2008»
15 years 4 months ago
Multimodal News Story Clustering With Pairwise Visual Near-Duplicate Constraint
Story clustering is a critical step for news retrieval, topic mining, and summarization. Nonetheless, the task remains highly challenging owing to the fact that news topics exhibit...
Xiao Wu, Chong-Wah Ngo, Alexander G. Hauptmann