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» Quantization of Sparse Representations
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TIT
2010
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13 years 2 months ago
Uncertainty principles and vector quantization
Given a frame in Cn which satisfies a form of the uncertainty principle (as introduced by Candes and Tao), it is shown how to quickly convert the frame representation of every vect...
Yurii Lyubarskii, Roman Vershynin
ECCV
2010
Springer
13 years 12 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
ICML
2010
IEEE
13 years 8 months ago
Submodular Dictionary Selection for Sparse Representation
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Andreas Krause, Volkan Cevher
ICASSP
2011
IEEE
12 years 11 months ago
SSIM-inspired image denoising using sparse representations
Perceptual image quality assessment (IQA) and sparse signal representation have recently emerged as high-impact research topics in the field of image processing. Here we make one...
Abdul Rehman, Zhou Wang, Dominique Brunet, Edward ...
ICCV
2011
IEEE
12 years 7 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