132 search results - page 5 / 27 » Feature Space Reduction for Face Recognition with Dual Linea... |
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Linear discriminant analysis (LDA) is a popular face recognition technique. However, an inherent problem with this technique stems from the parametric nature of the scatter matrix...
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
This paper presents a general multi-view feature extraction approach that we call Generalized Multiview Analysis or GMA. GMA has all the desirable properties required for cross-vi...
WACV
2002
IEEE
14 years 7 days ago
2002
IEEE
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
FGR
1998
IEEE
13 years 11 months ago
1998
IEEE
The performance of a local feature based system, using Gabor-filters, and a global template matching based system, using a combination of PCA (Principal Component Analysis) and LD...