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SAINT
2003
IEEE
15 years 11 months ago
A Generalized Target-Driven Cache Replacement Policy for Mobile Environments
Caching frequently accessed data items on the client side is an effective technique to improve the system performance in wireless networks. Due to cache size limitations, cache re...
Liangzhong Yin, Guohong Cao, Ying Cai
ICML
2010
IEEE
15 years 7 months ago
Nonparametric Return Distribution Approximation for Reinforcement Learning
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashim...
CVPR
2011
IEEE
15 years 3 months ago
Shape Grammar Parsing via Reinforcement Learning
This paper tackles shape grammar parsing for facade segmentation using a novel optimization approach based on reinforcement learning (RL). To this end, we use a binary recursive g...
Olivier Teboul, Iasonas Kokkinos, Panagiotis Kouts...
CVPR
2007
IEEE
16 years 8 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
NPL
2008
63views more  NPL 2008»
15 years 6 months ago
New Routes from Minimal Approximation Error to Principal Components
We introduce two new methods of deriving the classical PCA in the framework of minimizing the mean square error upon performing a lower-dimensional approximation of the data. These...
Abhilash Alexander Miranda, Yann-Aël Le Borgn...