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FGR
2000
IEEE
181views Biometrics» more  FGR 2000»
15 years 3 months ago
Face Detection Using Mixtures of Linear Subspaces
We present two methods using mixtures of linear subspaces for face detection in gray level images. One method uses a mixture of factor analyzers to concurrently perform clustering...
Ming-Hsuan Yang, Narendra Ahuja, David J. Kriegman
CVPR
2009
IEEE
15 years 5 months ago
Symmetric two dimensional linear discriminant analysis (2DLDA)
Linear discriminant analysis (LDA) has been successfully applied into computer vision and pattern recognition for effective feature extraction. High-dimensional objects such as im...
Dijun Luo, Chris H. Q. Ding, Heng Huang
CVPR
2004
IEEE
16 years 1 months ago
Self-Normalized Linear Tests
Making decisions based on a linear combination L of features is of course very common in pattern recognition. For distinguishing between two hypotheses or classes, the test is of ...
Sachin Gangaputra, Donald Geman
AMFG
2005
IEEE
152views Biometrics» more  AMFG 2005»
15 years 4 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...
TIP
2010
138views more  TIP 2010»
14 years 5 months ago
Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition
Gabor features have been known to be effective for face recognition. However, only a few approaches utilize phase feature and they usually perform worse than those using magnitude ...
Shufu Xie, Shiguang Shan, Xilin Chen, Jie Chen