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» Boosting linear discriminant analysis for face recognition
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ICIP
2003
IEEE
14 years 6 months ago
Boosting linear discriminant analysis for face recognition
In this paper, we propose a new algorithm to boost performance of traditional Linear Discriminant Analysis (LDA)-based face recognition (FR) methods in complex FR tasks, where hig...
Juwei Lu, Konstantinos N. Plataniotis, Anastasios ...
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
13 years 10 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 ...
ICIP
2002
IEEE
14 years 6 months ago
Boosting face recognition on a large-scale database
Performance of many state-of-the-art face recognition (FR) methods deteriorates rapidly, when large in size databases are considered. In this paper, we propose a novel clustering ...
Juwei Lu, Konstantinos N. Plataniotis
SINOBIOMETRICS
2004
Springer
13 years 10 months ago
Component-Based Cascade Linear Discriminant Analysis for Face Recognition
This paper presents a novel face recognition method based on cascade Linear Discriminant Analysis (LDA) of the component-based face representation. In the proposed method, a face i...
Wenchao Zhang, Shiguang Shan, Wen Gao, Yizheng Cha...
CVPR
2004
IEEE
14 years 6 months ago
Dual-Space Linear Discriminant Analysis for Face Recognition
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
Xiaogang Wang, Xiaoou Tang