441 search results - page 56 / 89 » Sparse Recovery Using Sparse Random Matrices |
155
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CORR
2011
Springer
14 years 9 months ago
2011
Springer
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
CORR
2008
Springer
15 years 2 months ago
2008
Springer
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
AAAI
1994
15 years 3 months ago
1994
We present the results of an empirical study of several constraint satisfaction search algorithms and heuristics. Using a random problem generator that allows us to create instanc...
CDC
2009
IEEE
15 years 5 months ago
2009
IEEE
Abstract-- Many model order reduction methods for parameterized systems need to construct a projection matrix V which requires computing several moment matrices of the parameterize...
106
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CVIU
2007
15 years 1 months ago
2007
This article proposes a generative image model, which is called ‘‘primal sketch,’’ following Marr’s insight and terminology. This model combines two prominent classes of...