160 search results - page 9 / 32 » Sparse decompositions in |
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CORR
2011
Springer
14 years 5 months ago
2011
Springer
We analyze a class of estimators based on a convex relaxation for solving highdimensional matrix decomposition problems. The observations are the noisy realizations of the sum of ...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Most research on image decomposition, e.g. image segmentation and image parsing, has predominantly focused on the low-level visual clues within single image and neglected the cont...
89
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ICIP
2008
IEEE
15 years 4 months ago
2008
IEEE
In this work, we propose the use of sparse signal representation techniques to solve the problem of closed-loop spatial image prediction. The reconstruction of signal in the block...
118
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SIAMJO
2011
14 years 1 months ago
2011
Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to decompose the given matrix into its sparse and low-ran...
ICCV
2007
IEEE
16 years 11 days ago
2007
IEEE
We introduce the Tsallis divergence error measure in the context of pLSA matrix and tensor decompositions showing much improved performance in the presence of noise. The focus of ...