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» On sparse signal representations
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75
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ICASSP
2010
IEEE
14 years 9 months ago
Clustering disjoint subspaces via sparse representation
Given a set of data points drawn from multiple low-dimensional linear subspaces of a high-dimensional space, we consider the problem of clustering these points according to the su...
Ehsan Elhamifar, René Vidal
69
Voted
ICA
2004
Springer
15 years 3 months ago
On the Strong Uniqueness of Highly Sparse Representations from Redundant Dictionaries
A series of recent results shows that if a signal admits a sufficiently sparse representation (in terms of the number of nonzero coefficients) in an “incoherent” dictionary, th...
Rémi Gribonval, Morten Nielsen
CORR
2010
Springer
93views Education» more  CORR 2010»
14 years 9 months ago
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary
Among the many ways to model signals, a recent approach that draws considerable attention is sparse representation modeling. In this model, the signal is assumed to be generated a...
Javier Turek, Irad Yavneh, Matan Protter, Michael ...
CIMAGING
2009
153views Hardware» more  CIMAGING 2009»
14 years 10 months ago
Dictionaries for sparse representation and recovery of reflectances
The surface reflectance function of many common materials varies slowly over the visible wavelength range. For this reason, linear models with a small number of bases (5-8) are fr...
Steven Lansel, Manu Parmar, Brian A. Wandell
ICASSP
2008
IEEE
15 years 4 months ago
Average case analysis of sparse recovery with thresholding : New bounds based on average dictionary coherence
This paper analyzes the performance of the simple thresholding algorithm for sparse signal representations. In particular, in order to be more realistic we introduce a new probabi...
Mohammad Golbabaee, Pierre Vandergheynst