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» Multiple-Exemplar Discriminant Analysis for Face Recognition
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TIFS
2010
173views more  TIFS 2010»
14 years 8 months ago
A hybrid approach for generating secure and discriminating face template
Abstract—Biometric template protection is one of the most important issues in deploying a practical biometric system. To tackle this problem, many algorithms, that do not store t...
Yi C. Feng, Pong C. Yuen, Anil K. Jain
FGR
2006
IEEE
162views Biometrics» more  FGR 2006»
15 years 1 months ago
Hierarchical Ensemble of Gabor Fisher Classifier for Face Recognition
Gabor feature has been widely recognized as one of the best representations for face recognition. However, traditionally, it has to be reduced in dimension due to curse of dimensi...
Yu Su, Shiguang Shan, Xilin Chen, Wen Gao
93
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ICIP
2003
IEEE
15 years 11 months ago
Improving shape-based face recognition by means of a supervised discriminant Hausdorff distance
This paper introduces a supervised discriminant Hausdorff distance that fits into the framework for automatic face analysis and recognition proposed in [1]. Our proposal relies so...
Albert Pujol, Antonio M. López, José...
AMFG
2005
IEEE
152views Biometrics» more  AMFG 2005»
15 years 3 months ago
Regularization of LDA for Face Recognition: A Post-processing Approach
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...
Wangmeng Zuo, Kuanquan Wang, David Zhang, Jian Yan...
NIPS
2004
14 years 11 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...