827 search results - page 153 / 166 » Variational methods for Reinforcement Learning |
ECCV
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. The sparse representation has been widely used in many areas and utilized for visual tracking. Tracking with sparse representation is formulated as searching for samples ...
TEC
2008
13 years 7 months ago
2008
Abstract--We propose a novel variation to biogeographybased optimization (BBO), which is an evolutionary algorithm (EA) developed for global optimization. The new algorithm employs...
IJPRAI
2002
13 years 7 months ago
2002
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...
HVEI
2009
13 years 5 months ago
2009
Current automatic sign language recognition (ASLR) seldom uses perceptual knowledge about the recognition of sign language. Using such knowledge can improve ASLR because it can gi...