774 search results - page 19 / 155 » A subdivision-based algorithm for the sparse resultant |
124
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CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
Dictionary learning is a challenging theme in computer vision. The basic goal is to learn a sparse representation from an overcomplete basis set. Most existing approaches employ a...
142
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JMLR
2006
15 years 1 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
147
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ICASSP
2009
IEEE
14 years 11 months ago
2009
IEEE
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
118
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
138
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...