186 search results - page 1 / 38 » Separable PCA for image classification |
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
As an alternative to standard PCA, matrix-based image dimensionality reduction methods have recently been proposed and have gained attention due to reported computational efficie...
ESANN
2006
13 years 5 months ago
2006
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
ICIP
2003
IEEE
14 years 5 months ago
2003
IEEE
Principal Component Analysis (PCA) is a well-established technique in image processing and pattern recognition. Incremental PCA and robust PCA are two interesting problems with nu...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
ICIAP
2003
ACM
13 years 9 months ago
2003
ACM
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...