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» Matrix Probing and its Conditioning
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CVPR
2011
IEEE
13 years 2 months ago
Accelerated Low-Rank Visual Recovery by Random Projection
Exact recovery from contaminated visual data plays an important role in various tasks. By assuming the observed data matrix as the addition of a low-rank matrix and a sparse matri...
Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan
CORR
2010
Springer
89views Education» more  CORR 2010»
13 years 6 months ago
The SIMO Pre-Log Can Be Larger Than the SISO Pre-Log
Abstract--We establish a lower bound on the noncoherent capacity pre-log of a temporally correlated Rayleigh block-fading single-input multiple-output (SIMO) channel. Surprisingly,...
Veniamin I. Morgenshtern, Giuseppe Durisi, Helmut ...
FGR
2006
IEEE
134views Biometrics» more  FGR 2006»
14 years 23 days ago
Local Binary Patterns as an Image Preprocessing for Face Authentication
One of the major problem in face authentication systems is to deal with variations in illumination. In a realistic scenario, it is very likely that the lighting conditions of the ...
Guillaume Heusch, Yann Rodriguez, Sébastien...
ICML
2006
IEEE
14 years 7 months ago
A duality view of spectral methods for dimensionality reduction
We present a unified duality view of several recently emerged spectral methods for nonlinear dimensionality reduction, including Isomap, locally linear embedding, Laplacian eigenm...
Lin Xiao, Jun Sun 0003, Stephen P. Boyd
CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 6 months ago
Stable Principal Component Pursuit
In this paper, we study the problem of recovering a low-rank matrix (the principal components) from a highdimensional data matrix despite both small entry-wise noise and gross spar...
Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. ...