59 search results - page 3 / 12 » Compressive Principal Component Pursuit |
DCC
2009
IEEE
14 years 6 months ago
2009
IEEE
An analysis is presented that extends existing Rayleigh-Ritz theory to the special case of highly eccentric distributions. Specifically, a bound on the angle between the first Rit...
IJHPCA
2008
13 years 6 months ago
2008
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
VLSISP
1998
13 years 5 months ago
1998
In this paper, we present preliminary results comparing the nature of the errors introduced by the mixture of principal components (MPC) model with a wavelet transform and the Karh...
GLOBECOM
2009
IEEE
14 years 1 months ago
2009
IEEE
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...