53 search results - page 1 / 11 » A Non-convex Relaxation Approach to Sparse Dictionary Learni... |
CVPR
2011
IEEE
12 years 8 months ago
2011
IEEE
Dictionary learning is a challenging theme in computer vision. The basic goal is to learn a sparse representation from an overcomplete basis set. Most existing approaches employ a...
ICA
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. A new dictionary learning method for exact sparse representation is presented in this paper. As the dictionary learning methods often iteratively update the sparse coeffi...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
ICASSP
2011
IEEE
12 years 8 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...