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COLT
2000
Springer
13 years 9 months ago
Bias-Variance Error Bounds for Temporal Difference Updates
We give the first rigorous upper bounds on the error of temporal difference (td) algorithms for policy evaluation as a function of the amount of experience. These upper bounds pr...
Michael J. Kearns, Satinder P. Singh
ICPR
2008
IEEE
14 years 6 months ago
Temporal difference learning to detect unsafe system states
Huazhong Ning, Thomas S. Huang, Wei Xu, Yihong Gon...
ICCV
2009
IEEE
3166views Computer Vision» more  ICCV 2009»
14 years 8 months ago
Detection and Removal of Chromatic Moving Shadows in Surveillance Scenarios
Segmentation in the surveillance domain has to deal with shadows to avoid distortions when detecting moving objects. Most segmentation approaches dealing with shadow detection are ...
Ivan Huerta, Michael Holte, Thomas Moeslund, and J...