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» On sparse signal representations
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CVPR
2008
IEEE
15 years 6 months ago
Joint learning and dictionary construction for pattern recognition
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative sparse overcomplete encoding and optimal classifier p...
Duc-Son Pham, Svetha Venkatesh
CORR
2010
Springer
143views Education» more  CORR 2010»
15 years 6 months ago
Compressed Sensing with Coherent and Redundant Dictionaries
This article presents novel results concerning the recovery of signals from undersampled data in the common situation where such signals are not sparse in an orthonormal basis or ...
Emmanuel J. Candès, Yonina C. Eldar, Deanna...
CORR
2010
Springer
149views Education» more  CORR 2010»
15 years 6 months ago
A probabilistic and RIPless theory of compressed sensing
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
Emmanuel J. Candès, Yaniv Plan
WAPCV
2004
Springer
15 years 12 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
ICASSP
2008
IEEE
16 years 1 months ago
Blind source separation using monochannel overcomplete dictionaries
We propose a new approach to underdetermined Blind Source Separation (BSS) using sparse decomposition over monochannel dictionary atoms and compare it to multichannel dictionary a...
B. Vikrham Gowreesunker, Ahmed H. Tewfik