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» On sparse signal representations
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ICCV
2011
IEEE
13 years 12 months ago
Fisher Discrimination Dictionary Learning for Sparse Representation
Sparse representation based classification has led to interesting image recognition results, while the dictionary used for sparse coding plays a key role in it. This paper present...
Meng Yang, Lei Zhang, Xiangchu Feng, David Zhang
ICASSP
2008
IEEE
15 years 6 months ago
Iteratively reweighted algorithms for compressive sensing
The theory of compressive sensing has shown that sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. In [1], it was sho...
Rick Chartrand, Wotao Yin
ICASSP
2011
IEEE
14 years 3 months ago
Focuss is a convex-concave procedure
We show the powerful sparse signal recovery approach FOCUSS is a convex-concave procedure. It follows a Newton-like decent direction by retaining the positive definite component ...
Mashud Hyder, Kaushik Mahata
TIT
2002
94views more  TIT 2002»
14 years 11 months ago
A generalized uncertainty principle and sparse representation in pairs of bases
An elementary proof of a basic uncertainty principle concerning pairs of representations of vectors in different orthonormal bases is provided. The result, slightly stronger than s...
Michael Elad, Alfred M. Bruckstein
ICPR
2010
IEEE
15 years 4 months ago
Fingerprint Pore Matching Based on Sparse Representation
—This paper proposes an improved direct fingerprint pore matching method. It measures the differences between pores by using the sparse representation technique. The coarse pore ...
Feng Liu, Qijun Zhao, Lei Zhang, David Zhang