138 search results - page 6 / 28 » Face Recognition Using Kernel Based Fisher Discriminant Anal... |
WACV
2002
IEEE
14 years 11 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...
PAMI
2006
13 years 7 months ago
2006
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representatio...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Mika et al. [3] introduce a non-linear formulation of Fisher's linear discriminant, based the now familiar "kernel trick", demonstrating state-of-the-art performanc...
ICB
2007
Springer
13 years 11 months ago
2007
Springer
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...
TSMC
2008
13 years 7 months ago
2008
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...