32 search results - page 1 / 7 » Bayesian Pursuit algorithm for sparse representation |
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
In this paper, we propose a Bayesian Pursuit algorithm for sparse representation. It uses both the simplicity of the pursuit algorithms and optimal Bayesian framework to determine...
ICIP
2006
IEEE
14 years 8 months ago
2006
IEEE
Recent studies in linear inverse problems have recognized the sparse representation of unknown signal in a certain basis as an useful and effective prior information to solve thos...
CORR
2010
Springer
13 years 6 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...
ESANN
2008
13 years 8 months ago
2008
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Finding the sparsest solution for an under-determined linear system of equations D = s is of interest in many applications. This problem is known to be NP-hard. Recent work studie...