1391 search results - page 45 / 279 » Optimally Sparse Frames |
121
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JMLR
2010
14 years 6 months ago
2010
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
127
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ICML
2010
IEEE
15 years 27 days ago
2010
IEEE
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
107
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CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article ext...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
When seeking a sparse representation of a signal on a redundant basis, one might want to convey available a priori information on the observations to the optimization criterion. I...
123
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JMLR
2012
13 years 2 months ago
2012
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...