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JVCIR
2010
162views more  JVCIR 2010»
13 years 7 months ago
Tetrolet transform: A new adaptive Haar wavelet algorithm for sparse image representation
In order to get an efficient image representation we introduce a new adaptive Haar wavelet transform, called Tetrolet Transform. Tetrolets are Haar-type wavelets whose supports ar...
Jens Krommweh
PRICAI
2010
Springer
13 years 6 months ago
Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification
Unlike traditional classification tasks, multilabel classification allows a sample to associate with more than one label. This generalization naturally arises the difficulty in cla...
Shuo Xiang, Songcan Chen, Lishan Qiao
CORR
2011
Springer
152views Education» more  CORR 2011»
13 years 4 months ago
Sparsity Equivalence of Anisotropic Decompositions
Anisotropic decompositions using representation systems such as curvelets, contourlet, or shearlets have recently attracted significantly increased attention due to the fact that...
Gitta Kutyniok
CORR
2011
Springer
179views Education» more  CORR 2011»
13 years 3 months ago
Recovery of Sparsely Corrupted Signals
We investigate the recovery of signals exhibiting a sparse representation in a general (i.e., possibly redundant or incomplete) dictionary that are corrupted by additive noise adm...
Christoph Studer, Patrick Kuppinger, Graeme Pope, ...
TSP
2010
13 years 3 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