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ICML
1996
IEEE
14 years 8 months ago
Learning Evaluation Functions for Large Acyclic Domains
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Justin A. Boyan, Andrew W. Moore
PODC
2009
ACM
14 years 5 months ago
The wireless synchronization problem
In this paper, we study the wireless synchronization problem which requires devices activated at different times on a congested single-hop radio network to synchronize their roun...
Shlomi Dolev, Seth Gilbert, Rachid Guerraoui, Fabi...
COCO
2003
Springer
118views Algorithms» more  COCO 2003»
14 years 1 months ago
Lower bounds for predecessor searching in the cell probe model
We consider a fundamental problem in data structures, static predecessor searching: Given a subset S of size n from the universe [m], store S so that queries of the form “What i...
Pranab Sen
ICCV
2007
IEEE
14 years 9 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
ECCV
2002
Springer
1127views Computer Vision» more  ECCV 2002»
14 years 9 months ago
Removing Shadows from Images
Illumination conditions cause problems for many computer vision algorithms. Inparticular, shadows in an image can cause segmentation, tracking, or recognition algorithms to fail. I...
Graham D. Finlayson, Steven D. Hordley, Mark S. Dr...
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