111 search results - page 7 / 23 » Perspectives on Sparse Bayesian Learning |
107
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ICASSP
2011
IEEE
14 years 3 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...
81
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ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse respo...
121
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
100
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ACL
2008
15 years 1 months ago
2008
We combine the strengths of Bayesian modeling and synchronous grammar in unsupervised learning of basic translation phrase pairs. The structured space of a synchronous grammar is ...