15 search results - page 1 / 3 » Iterated Hard Shrinkage for Minimization Problems with Spars... |
65
Voted
SIAMSC
2008
14 years 10 months ago
2008
Abstract. A new iterative algorithm for the solution of minimization problems in infinitedimensional Hilbert spaces which involve sparsity constraints in form of p-penalties is pro...
DCC
2010
IEEE
15 years 5 months ago
2010
IEEE
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
SIAMSC
2010
14 years 8 months ago
2010
Abstract. A problem that arises in slice-selective magnetic resonance imaging (MRI) radiofrequency (RF) excitation pulse design is abstracted as a novel linear inverse problem with...
CORR
2011
Springer
14 years 2 months ago
2011
Springer
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
105
click to vote
NIPS
2008
14 years 11 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...