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» A MATLAB-Based Code Generator for Sparse Matrix Computations
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NECO
2010
154views more  NECO 2010»
13 years 5 months ago
Role of Homeostasis in Learning Sparse Representations
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that ...
Laurent U. Perrinet
CVPR
2012
IEEE
11 years 10 months ago
See all by looking at a few: Sparse modeling for finding representative objects
We consider the problem of finding a few representatives for a dataset, i.e., a subset of data points that efficiently describes the entire dataset. We assume that each data poi...
Ehsan Elhamifar, Guillermo Sapiro, René Vid...
ICIW
2009
IEEE
14 years 2 months ago
Paircoding: Improving File Sharing Using Sparse Network Codes
BitTorrent and Practical Network Coding are efficient methods for sharing files in a peer-to-peer network. Both face the problem to distribute a given file using peers with dif...
Christian Ortolf, Christian Schindelhauer, Arne Va...
ICS
1997
Tsinghua U.
13 years 11 months ago
Optimizing Matrix Multiply Using PHiPAC: A Portable, High-Performance, ANSI C Coding Methodology
Modern microprocessors can achieve high performance on linear algebra kernels but this currently requires extensive machine-speci c hand tuning. We have developed a methodology wh...
Jeff Bilmes, Krste Asanovic, Chee-Whye Chin, James...
CORR
2007
Springer
155views Education» more  CORR 2007»
13 years 7 months ago
Low-density graph codes that are optimal for source/channel coding and binning
We describe and analyze the joint source/channel coding properties of a class of sparse graphical codes based on compounding a low-density generator matrix (LDGM) code with a low-...
Martin J. Wainwright, Emin Martinian