69 search results - page 9 / 14 » Dictionary learning of convolved signals |
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
117
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CVPR
2010
IEEE
15 years 28 days ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
101
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TIP
2008
14 years 9 months ago
2008
Abstract--Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over...
100
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ICA
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. In recent years, there has been a great deal of work in modeling audio using non-negative matrix factorization and its probabilistic counterparts as they yield rich model...
245
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ICA
2012
Springer
13 years 5 months ago
2012
Springer
Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...