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» Boosting linear discriminant analysis for face recognition
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ICIP
2007
IEEE
14 years 2 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 ...
ICPR
2006
IEEE
14 years 8 months ago
Non-Iterative Two-Dimensional Linear Discriminant Analysis
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to...
Kohei Inoue, Kiichi Urahama
CVPR
2010
IEEE
14 years 1 months ago
Adaptive Generic Learning for Face Recognition from a Single Sample per Person
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the datab...
Yu Su, Shiguang Shan, Xilin Chen, wen Gao
ICCV
2003
IEEE
14 years 9 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
FGR
2006
IEEE
98views Biometrics» more  FGR 2006»
14 years 1 months ago
A Multiview Face Identification Model With No Geometric Constraints
Face identification systems relying on local descriptors are increasingly used because of their perceived robustness with respect to occlusions and to global geometrical deformati...
Jerry Jun Yokono, Tomaso Poggio