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CORR
2010
Springer
171views Education» more  CORR 2010»
13 years 8 months ago
Graphical Models Concepts in Compressed Sensing
This paper surveys recent work in applying ideas from graphical models and message passing algorithms to solve large scale regularized regression problems. In particular, the focu...
Andrea Montanari
CORR
2007
Springer
183views Education» more  CORR 2007»
13 years 9 months ago
Compressed Sensing and Redundant Dictionaries
This article extends the concept of compressed sensing to signals that are not sparse in an orthonormal basis but rather in a redundant dictionary. It is shown that a matrix, whic...
Holger Rauhut, Karin Schnass, Pierre Vandergheynst
CVPR
2011
IEEE
13 years 5 months ago
Is face recognition really a Compressive Sensing problem?
Compressive Sensing has become one of the standard methods of face recognition within the literature. We show, however, that the sparsity assumption which underpins much of this w...
Qinfeng Shi, Anders Eriksson, Anton vandenHengel, ...
ICASSP
2011
IEEE
13 years 1 months ago
Time domain reconstruction of spatial sound fields using compressed sensing
A novel technique for time domain spatial sound reproduction using compressed sensing is presented. The presented technique is based on the application of compressed sensing theor...
Andrew Wabnitz, Nicolas Epain, André van Sc...
ECCV
2008
Springer
14 years 11 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....