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» A General Framework for Structured Sparsity via Proximal Opt...
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CVPR
2011
IEEE
13 years 2 months ago
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
Weisheng Dong, Xin Li
ICML
2010
IEEE
13 years 6 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
INFOCOM
2008
IEEE
13 years 11 months ago
Non-Metric Coordinates for Predicting Network Proximity
—We consider the problem of determining the “closest”, or best Internet host to connect to, from a list of candidate servers. Most existing approaches rely on the use of metr...
Peter B. Key, Laurent Massoulié, Dan-Cristi...
PG
2007
IEEE
13 years 11 months ago
Contour Correspondence via Ant Colony Optimization
We formulate contour correspondence as a Quadratic Assignment Problem (QAP), incorporating proximity information. By maintaining the neighborhood relation between points this way,...
Oliver van Kaick, Ghassan Hamarneh, Hao Zhang 0002...
ICASSP
2011
IEEE
12 years 9 months ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
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...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...