441 search results - page 47 / 89 » Sparse Recovery Using Sparse Random Matrices |
118
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
Suppose a given observation matrix can be decomposed as the sum of a low-rank matrix and a sparse matrix (outliers), and the goal is to recover these individual components from th...
146
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SCALESPACE
2007
Springer
15 years 8 months ago
2007
Springer
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
111
Voted
ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
This paper studies the feasibility and investigates various choices in the application of compressive sensing (CS) to object-based surveillance video coding. The residual object e...
132
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TIT
2010
14 years 8 months ago
2010
In this paper, we study the number of measurements required to recover a sparse signal in M with L nonzero coefficients from compressed samples in the presence of noise. We conside...
116
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COMPUTING
2007
15 years 2 months ago
2007
Hierarchical matrices (H-matrices) approximate matrices in a data-sparse way, and the approximate arithmetic for H-matrices is almost optimal. In this paper we present an algebrai...