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» A Novel Kernel Discriminant Analysis for Face Verification
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ICIP
2007
IEEE
13 years 11 months ago
A Novel Kernel Discriminant Analysis for Face Verification
In this paper a novel non-linear subspace method for face verification is proposed. The problem of face verification is considered as a two-class problem (genuine versus imposto...
Georgios Goudelis, Stefanos Zafeiriou, Anastasios ...
ICB
2007
Springer
176views Biometrics» more  ICB 2007»
13 years 8 months ago
A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition
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...
Tuo Zhao, Zhizheng Liang, David Zhang, Yahui Liu
JEI
2008
135views more  JEI 2008»
13 years 4 months ago
Face authentication using a hybrid approach
This paper presents a hybrid approach to face-feature extraction based on the trace transform and the novel kernel partial-least-squares discriminant analysis (KPA). The hybrid app...
Vitomir Struc, France Mihelic, Nikola Pavesic
ACCV
2007
Springer
13 years 11 months ago
Kernel Discriminant Analysis Based on Canonical Differences for Face Recognition in Image Sets
A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. For each individu...
Wen-Sheng Vincent Chu, Ju-Chin Chen, Jenn-Jier Jam...
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...