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» A Practical Method for the Sparse Resultant
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189
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JMLR
2006
153views more  JMLR 2006»
15 years 7 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
278
Voted
TODAES
2008
104views more  TODAES 2008»
15 years 7 months ago
Wavelet-based dynamic power management for nonstationary service requests
The goal of dynamic power management is to reduce power dissipation in system level by putting system components into different states. This paper proposes a wavelet based approac...
Ali Abbasian, Safar Hatami, Ali Afzali-Kusha, Mass...
208
Voted
SIGPRO
2010
141views more  SIGPRO 2010»
15 years 5 months ago
Tetrolet shrinkage with anisotropic total variation minimization for image approximation
In this paper, an anisotropic total variation (ATV) minimization is combined with the new adaptive tetrolet transform for discontinuity-preserving image processing. In order to su...
Jens Krommweh, Jianwei Ma
210
Voted
ICIP
2010
IEEE
15 years 5 months ago
Single image deblurring with adaptive dictionary learning
We propose a motion deblurring algorithm that exploits sparsity constraints of image patches using one single frame. In our formulation, each image patch is encoded with sparse co...
Zhe Hu, Jia-Bin Huang, Ming-Hsuan Yang
ICIP
2010
IEEE
15 years 5 months ago
A sparsity-distortion-optimized multiscale representation of geometry
This paper describes the construction of a new multiresolutional decomposition with applications to image compression. The proposed method designs sparsity-distortion-optimized or...
Osman Gokhan Sezer, Yucel Altunbasak, Onur G. Gule...