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» Quantization of Sparse Representations
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IGARSS
2009
13 years 5 months ago
General Framework on Change Detection in a Sparse Domain
The paper presents a general framework for change detection in radar images, for an operational purpose and in the context of environmental monitoring. This framework is based on ...
Abdourrahmane M. Atto, Grégoire Mercier, Do...
COMPUTING
2006
119views more  COMPUTING 2006»
13 years 7 months ago
Sparse Grids, Adaptivity, and Symmetry
Sparse grid methods represent a powerful and efficient technique for the representation and approximation of functions and particularly the solutions of partial differential equat...
Harry Yserentant
JMIV
2011
138views more  JMIV 2011»
13 years 2 months ago
Direct Sparse Deblurring
We propose a deblurring algorithm that explicitly takes into account the sparse characteristics of natural images and does not entail solving a numerically ill-conditioned backwar...
Yifei Lou, Andrea L. Bertozzi, Stefano Soatto
ICASSP
2011
IEEE
12 years 11 months ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...
MIR
2010
ACM
229views Multimedia» more  MIR 2010»
14 years 2 months ago
Wavelet, active basis, and shape script: a tour in the sparse land
Sparse coding is a key principle that underlies wavelet representation of natural images. In this paper, we explain that the effort of seeking a common wavelet sparse coding of i...
Zhangzhang Si, Ying Nian Wu