555 search results - page 3 / 111 » Bayesian Compressive Sensing |
TSP
2010
12 years 12 months ago
2010
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
IPSN
2009
Springer
14 years 18 hour ago
2009
Springer
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
ICIP
2001
IEEE
14 years 6 months ago
2001
IEEE
Resolution enhancement for video sequences has always been an attractive application in multimedia signal processing. "Superresolution" methods, that combine non-redunda...
SIAMIS
2011
13 years 5 days ago
2011
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
JMLR
2008
13 years 5 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...