156 search results - page 14 / 32 » Generalized Principal Component Analysis (GPCA) |
GLVLSI
2003
IEEE
14 years 1 months ago
2003
IEEE
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
PAMI
2010
13 years 7 months ago
2010
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
The ability to automatically detect `visually interesting' regions in an image has many practical applications especially in the design of active machine vision systems. This...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...