52 search results - page 4 / 11 » Bayesian Compressive Sensing Using Laplace Priors |
ICUMT
2009
13 years 3 months ago
2009
Abstract--In this paper we address the task of accurately reconstructing a distributed signal through the collection of a small number of samples at a data gathering point using Co...
TIP
2010
13 years 4 months ago
2010
—In this paper a new image prior is introduced and used in image restoration. This prior is based on products of spatially weighted Total Variations (TV). These spatial weights p...
NIPS
2004
13 years 7 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
SCALESPACE
2007
Springer
14 years 2 days ago
2007
Springer
This paper proposes an extension of compressed sensing that allows to express the sparsity prior in a dictionary of bases. This enables the use of the random sampling strategy of c...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...