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» Structured Sparsity in Structured Prediction
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CVPR
2011
IEEE
13 years 4 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
CORR
2012
Springer
224views Education» more  CORR 2012»
12 years 2 months ago
On the Lagrangian Biduality of Sparsity Minimization Problems
We present a novel primal-dual analysis on a class of NPhard sparsity minimization problems to provide new interpretations for their well known convex relaxations. We show that th...
Dheeraj Singaraju, Ehsan Elhamifar, Roberto Tron, ...
BMCBI
2006
137views more  BMCBI 2006»
13 years 7 months ago
Improving the accuracy of protein secondary structure prediction using structural alignment
Background: The accuracy of protein secondary structure prediction has steadily improved over the past 30 years. Now many secondary structure prediction methods routinely achieve ...
Scott Montgomerie, Shan Sundararaj, Warren J. Gall...
ICCV
2009
IEEE
13 years 4 months ago
Learning with dynamic group sparsity
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
BMCBI
2007
140views more  BMCBI 2007»
13 years 7 months ago
Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure in
Background: Structural properties of proteins such as secondary structure and solvent accessibility contribute to three-dimensional structure prediction, not only in the ab initio...
Gianluca Pollastri, Alberto J. M. Martin, Catherin...