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ICIP
2007
IEEE
14 years 1 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 ...
ICANN
2005
Springer
14 years 1 months ago
Discriminative Common Images for Face Recognition
Linear discrimination analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Ba...
Vo Dinh Minh Nhat, Sungyoung Lee
ICPR
2006
IEEE
14 years 8 months ago
High Accuracy Handwritten Chinese Character Recognition Using Quadratic Classifiers with Discriminative Feature Extraction
We aim to improve the accuracy of handwritten Chinese character recognition using two advanced techniques: discriminative feature extraction (DFE) and discriminative learning quad...
Cheng-Lin Liu
ISCAS
2006
IEEE
154views Hardware» more  ISCAS 2006»
14 years 1 months ago
A novel Fisher discriminant for biometrics recognition: 2DPCA plus 2DFLD
— this paper presents a novel image feature extraction and recognition method two dimensional linear discriminant analysis (2DLDA) in a much smaller subspace. Image representatio...
R. M. Mutelo, Li Chin Khor, Wai Lok Woo, Satnam Si...
NIPS
2004
13 years 8 months ago
Efficient Kernel Discriminant Analysis via QR Decomposition
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladi...