Sciweavers

158 search results - page 3 / 32
» Face Recognition using Layered Linear Discriminant Analysis ...
Sort
View
CVPR
2001
IEEE
14 years 7 months ago
A Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition
The FERET evaluation compared recognition rates for different semi-automated and automated face recognition algorithms. We extend FERET by considering when differences in recognit...
J. Ross Beveridge, Kai She, Bruce A. Draper, Geof ...
TSMC
2008
182views more  TSMC 2008»
13 years 4 months ago
Incremental Linear Discriminant Analysis for Face Recognition
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
Haitao Zhao, Pong Chi Yuen
ICCV
2003
IEEE
14 years 6 months ago
Unified Subspace Analysis for Face Recognition
We propose a face difference model that decomposes face difference into three components, intrinsic difference, transformation difference, and noise. Using the face difference mod...
Xiaogang Wang, Xiaoou Tang
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
CIVR
2007
Springer
169views Image Analysis» more  CIVR 2007»
13 years 11 months ago
Whitened LDA for face recognition
Over the years, many Linear Discriminant Analysis (LDA) algorithms have been proposed for the study of high dimensional data in a large variety of problems. An intrinsic limitatio...
Vo Dinh Minh Nhat, Sungyoung Lee, Hee Yong Youn