160 search results - page 14 / 32 » Sparse decompositions in |
115
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SIAMSC
2010
14 years 10 months ago
2010
Abstract. Popular approaches for solving the shallow water equations (SWE) for climate modeling are explicit and semi-implicit methods, both have certain constraints on the time st...
87
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper presents a sparse approach of solving the onesided Procrustes problem with special orthogonal constraint. By leveraging a planar decomposition common to all rotation ma...
120
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CSE
2010
IEEE
15 years 15 days ago
2010
IEEE
Morphological Component Analysis (MCA) of signals and images is an ambitious and important goal in signal processing; successful methods for MCA have many far-reaching application...
127
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NIPS
2008
15 years 1 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
114
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
The Common Spatial Pattern (CSP) method is a powerful technique for feature extraction from multichannel neural activity and widely used in brain computer interface (BCI) applicat...