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TIP
2010
189views more  TIP 2010»
13 years 3 months ago
Image Inpainting by Patch Propagation Using Patch Sparsity
Abstract—This paper introduces a novel examplar-based inpainting algorithm through investigating the sparsity of natural image patches. Two novel concepts of sparsity at the patc...
Zongben Xu, Jian Sun
MMM
2009
Springer
218views Multimedia» more  MMM 2009»
14 years 2 months ago
Sparse Multiscale Patches (SMP) for Image Categorization
Abstract. In this paper we address the task of image categorization using a new similarity measure on the space of Sparse Multiscale Patches (SMP). SMPs are based on a multiscale t...
Paolo Piro, Sandrine Anthoine, Eric Debreuve, Mich...
CVPR
2006
IEEE
14 years 7 months ago
Image Denoising Via Learned Dictionaries and Sparse representation
We address the image denoising problem, where zeromean white and homogeneous Gaussian additive noise should be removed from a given image. The approach taken is based on sparse an...
Michael Elad, Michal Aharon
ISBI
2008
IEEE
14 years 6 months ago
Sparse representations for limited data tomography
In limited data tomography, with applications such as electron microscopy and medical imaging, the scanning views are within an angular range that is often both limited and sparse...
Hstau Y. Liao, Guillermo Sapiro
NIPS
2007
13 years 6 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun