441 search results - page 26 / 89 » Sparse Recovery Using Sparse Random Matrices |
ECML
2007
Springer
15 years 4 months ago
2007
Springer
The stability of sample based algorithms is a concept commonly used for parameter tuning and validity assessment. In this paper we focus on two well studied algorithms, LSI and PCA...
AMC
2005
14 years 9 months ago
2005
A class of efficient preconditioners based on Daubechies family of wavelets for sparse, unsymmetric linear systems that arise in numerical solution of Partial Differential Equatio...
107
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NIPS
2004
14 years 11 months ago
2004
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
111
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
103
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ICIP
2008
IEEE
15 years 4 months ago
2008
IEEE
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...