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» Learning structured dictionaries for image representation
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ICCV
2003
IEEE
14 years 23 days ago
Modeling Textured Motion : Particle, Wave and Sketch
In this paper, we present a generative model for textured motion phenomena, such as falling snow, wavy river and dancing grass, etc. Firstly, we represent an image as a linear sup...
Yizhou Wang, Song Chun Zhu
ICA
2010
Springer
13 years 7 months ago
SMALLbox - An Evaluation Framework for Sparse Representations and Dictionary Learning Algorithms
SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for explorati...
Ivan Damnjanovic, Matthew E. P. Davies, Mark D. Pl...
ICASSP
2011
IEEE
12 years 11 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad
SIAMIS
2008
211views more  SIAMIS 2008»
13 years 7 months ago
Sparse and Redundant Modeling of Image Content Using an Image-Signature-Dictionary
Modeling signals by sparse and redundant representations has been drawing considerable attention in recent years. Coupled with the ability to train the dictionary using signal exam...
Michal Aharon, Michael Elad
ICIP
2010
IEEE
13 years 4 months ago
Automatic target recognition based on simultaneous sparse representation
In this paper, an automatic target recognition algorithm is presented based on a framework for learning dictionaries for simultaneous sparse signal representation and feature extr...
Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellap...