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ICCS
2005
Springer
13 years 11 months ago
Vectorized Sparse Matrix Multiply for Compressed Row Storage Format
Abstract. The innovation of this work is a simple vectorizable algorithm for performing sparse matrix vector multiply in compressed sparse row (CSR) storage format. Unlike the vect...
Eduardo F. D'Azevedo, Mark R. Fahey, Richard Tran ...
IVC
2007
94views more  IVC 2007»
13 years 5 months ago
Vector quantization and fuzzy ranks for image reconstruction
The problem of clustering is often addressed with techniques based on a Voronoi partition of the data space. Vector quantization is based on a similar principle, but it is a diffe...
Stefano Rovetta, Francesco Masulli
CORR
2010
Springer
66views Education» more  CORR 2010»
13 years 5 months ago
A Simple Message-Passing Algorithm for Compressed Sensing
We consider the recovery of a nonnegative vector x from measurements y = Ax, where A {0, 1}m
Venkat Chandar, Devavrat Shah, Gregory W. Wornell
ICASSP
2009
IEEE
14 years 13 days ago
A simple, efficient and near optimal algorithm for compressed sensing
When sampling signals below the Nyquist rate, efficient and accurate reconstruction is nevertheless possible, whenever the sampling system is well behaved and the signal is well ...
Thomas Blumensath, Mike E. Davies
JIPS
2010
273views more  JIPS 2010»
13 years 14 days ago
Hiding Secret Data in an Image Using Codeword Imitation
This paper proposes a novel reversible data hiding scheme based on a Vector Quantization (VQ) codebook. The proposed scheme uses the principle component analysis (PCA) algorithm to...
Zhi-Hui Wang, Chin-Chen Chang, Pei-Yu Tsai