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...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Sparse representations over redundant dictionaries offer an efficient paradigm for signal representation. Recently block-sparsity has been put forward as a prior condition for so...
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...
TSP
2010
12 years 11 months ago
2010
This paper deals with the Bayesian signal denoising problem, assuming a prior based on a sparse representation modeling over a unitary dictionary. It is well known that the maximum...
TIP
2010
12 years 11 months ago
2010
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We investigate the recovery of signals exhibiting a sparse representation in a general (i.e., possibly redundant or incomplete) dictionary that are corrupted by additive noise adm...
ICMLA
2009
13 years 2 months ago
2009
Sparse representation for machine learning has been exploited in past years. Several sparse representation based classification algorithms have been developed for some application...
ICASSP
2010
IEEE
13 years 2 months ago
2010
IEEE
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
TIT
2002
13 years 4 months ago
2002
An elementary proof of a basic uncertainty principle concerning pairs of representations of vectors in different orthonormal bases is provided. The result, slightly stronger than s...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...