59 search results - page 3 / 12 » Compressive Principal Component Pursuit |
DCC
2009
IEEE
14 years 11 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 11 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 10 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 5 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 11 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 ...