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94
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ICML
2003
IEEE
16 years 1 months ago
Action Elimination and Stopping Conditions for Reinforcement Learning
We consider incorporating action elimination procedures in reinforcement learning algorithms. We suggest a framework that is based on learning an upper and a lower estimates of th...
Eyal Even-Dar, Shie Mannor, Yishay Mansour
97
Voted
MMM
2007
Springer
139views Multimedia» more  MMM 2007»
15 years 7 months ago
An Image Registration Method Based on the Local and Global Structures
We propose a novel feature-based image registration method using both the local and global structures of the feature points. To address various imaging conditions, we improve the l...
Nan Peng, Zhiyong Huang, Zujun Hou
91
Voted
IAT
2006
IEEE
15 years 6 months ago
An Adaptive Multi-agent Organization Model Based on Dynamic Role Allocation
Organizations involving multiple agents require adaptation mechanisms to guarantee robustness, especially in critical domains. This paper presents an organizational template to ai...
Mark Hoogendoorn, Jan Treur
100
Voted
ICMCS
2006
IEEE
146views Multimedia» more  ICMCS 2006»
15 years 6 months ago
A Mutual Information based Face Clustering Algorithm for Movies
In this paper a new approach for face clustering is developed. Mutual information and joint entropy are exploited in order to create a metric for the clustering process. The way t...
Nicholas Vretos, Vassilios Solachidis, Ioannis Pit...
90
Voted
ISCAS
2006
IEEE
92views Hardware» more  ISCAS 2006»
15 years 6 months ago
Model of a true random number generator aimed at cryptographic applications
— The paper presents a simple stochastic model of a True Random Number Generator, which extracts randomness from the tracking jitter of a phase-locked loop. The existence of such...
Martin Simka, Milos Drutarovský, Viktor Fis...