71 search results - page 2 / 15 » Proximal Methods for Sparse Hierarchical Dictionary Learning |
155
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CORR
2012
Springer
13 years 10 months ago
2012
Springer
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
111
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
128
Voted
ICA
2010
Springer
15 years 3 months ago
2010
Springer
SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for explorati...
153
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CORR
2010
Springer
15 years 3 months ago
2010
Springer
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
144
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...