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» Quantization of Sparse Representations
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ICIP
2003
IEEE
14 years 9 months ago
Quantization of adaptive 2D wavelet decompositions
Classical linear wavelet representations of images have the drawback that they are not well-suited to represent edge information. To overcome this problem, nonlinear multiresoluti...
Béatrice Pesquet-Popescu, Henk J. A. M. Hei...
TSP
2010
13 years 2 months ago
Double sparsity: learning sparse dictionaries for sparse signal approximation
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
Ron Rubinstein, Michael Zibulevsky, Michael Elad
ICPR
2010
IEEE
14 years 1 months ago
Sparse Coding of Linear Dynamical Systems with an Application to Dynamic Texture Recognition
Given a sequence of observable features of a linear dynamical system (LDS), we propose the problem of finding a representation of the LDS which is sparse in terms of a given dict...
Bernard Ghanem, Narendra Ahuja
ICASSP
2011
IEEE
12 years 11 months ago
Sparse coding of auditory features for machine hearing in interference
A key problem in using the output of an auditory model as the input to a machine-learning system in a machine-hearing application is to find a good feature-extraction layer. For ...
Richard F. Lyon, Jay Ponte, Gal Chechik
CORR
2007
Springer
136views Education» more  CORR 2007»
13 years 7 months ago
Sparsity in time-frequency representations
We consider signals and operators in finite dimension which have sparse time-frequency representations. As main result we show that an S-sparse Gabor representation in Cn with re...
Götz E. Pfander, Holger Rauhut