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» Multiple-Exemplar Discriminant Analysis for Face Recognition
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AVBPA
2005
Springer
226views Biometrics» more  AVBPA 2005»
15 years 3 months ago
Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
Baochang Zhang, Xilin Chen, Wen Gao
80
Voted
ICIP
2003
IEEE
15 years 11 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 ...
CAIP
2005
Springer
121views Image Analysis» more  CAIP 2005»
15 years 3 months ago
Feature Space Reduction for Face Recognition with Dual Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is widely known feature extraction technique that aims at creating a feature set of enhanced discriminatory power. It was addressed by many resea...
Krzysztof Kucharski, Wladyslaw Skarbek, Miroslaw B...
ICPR
2008
IEEE
15 years 4 months ago
Fuzzy maximum scatter discriminant analysis and its application to face recognition
In this paper, a reformative scatter difference discriminant criterion (SDDC) with fuzzy set theory is studied. The scatter difference between between-class and within-class as di...
Jianguo Wang, Wankou Yang, Jingyu Yang
ECCV
2004
Springer
15 years 3 months ago
Null Space Approach of Fisher Discriminant Analysis for Face Recognition
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan