627 search results - page 5 / 126 » Face recognition using feature extraction based on independe... |
ISNN
2004
Springer
14 years 27 days ago
2004
Springer
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
CVPR
2006
IEEE
13 years 11 months ago
2006
IEEE
The face recognition system based on the only single classifier considering the restricted information can not guarantee the generality and superiority of performances in a real s...
JCP
2008
13 years 7 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
JIPS
2007
13 years 7 months ago
2007
: Semantic clustering is important to various fields in the modern information society. In this work we applied the Independent Component Analysis method to the extraction of the f...
JCIT
2008
13 years 7 months ago
2008
Image recognition using various image classifiers is an active research area. In this paper we will describe a new face recognition method based on PCA (Principal Component Analys...