59 search results - page 2 / 12 » Compressive Principal Component Pursuit |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
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...
PAMI
2000
13 years 5 months ago
2000
Abstract-- This paper introduces Evolutionary Pursuit (EP) as a novel and adaptive representation method for image encoding and classification. In analogy to projection pursuit met...
DCC
2008
IEEE
14 years 5 months ago
2008
IEEE
A method is proposed for the compression of hyperspectral signature vectors on severely resourceconstrained encoding platforms. The proposed technique, compressive-projection prin...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
This paper addresses the problem of video anomaly recovery from a sequence of spectrally compressed video frames. Analysis of anomalies occurring in both time and spectrum is impo...
JACM
2011
12 years 8 months ago
2011
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...