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190
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CORR
2010
Springer
225views Education» more  CORR 2010»
15 years 6 months ago
Sensing Matrix Optimization for Block-Sparse Decoding
Recent work has demonstrated that using a carefully designed sensing matrix rather than a random one, can improve the performance of compressed sensing. In particular, a welldesign...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
COMPUTING
2006
126views more  COMPUTING 2006»
15 years 6 months ago
Algebraic Multigrid Based on Computational Molecules, 1: Scalar Elliptic Problems
We consider the problem of splitting a symmetric positive definite (SPD) stiffness matrix A arising from finite element discretization into the sum of edge matrices thereby assumi...
J. K. Kraus, Josef Schicho
IJON
2006
90views more  IJON 2006»
15 years 6 months ago
Reinforcement learning of a simple control task using the spike response model
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
Murilo Saraiva de Queiroz, Roberto Coelho de Berr&...
165
Voted
CORR
2007
Springer
94views Education» more  CORR 2007»
15 years 6 months ago
Size reduction of complex networks preserving modularity
The ubiquity of modular structure in real-world complex networks is being the focus of attention in many trials to understand the interplay between network topology and functionali...
Alex Arenas, J. Duch, A. Fernandez, Sergio G&oacut...
168
Voted
CORR
2007
Springer
140views Education» more  CORR 2007»
15 years 6 months ago
From the entropy to the statistical structure of spike trains
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock