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» On optimizing subspaces for face recognition
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CVPR
2004
IEEE
14 years 9 months ago
Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study
Face recognition under unconstrained illuminations (FR/I) received extensive study because of the existence of illumination subspace. [2] presented a study on the comparison betwe...
Qi Li, Jieping Ye, Chandra Kambhamettu
ICIP
2005
IEEE
14 years 8 months ago
Feedback-based dynamic generalized LDA for face recognition
Linear Discriminant Analysis(LDA) is widely-used in face recognition systems. However, with the traditional formulation, the available information in the training samples is not su...
Dahua Lin, Shuicheng Yan, Xiaoou Tang
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
14 years 7 months ago
IMMC: incremental maximum margin criterion
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...
CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Support Vector Machines in Face Recognition with Occlusions
Support Vector Machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the fe...
Aleix M. Martínez, Hongjun Jia
FGR
2004
IEEE
89views Biometrics» more  FGR 2004»
13 years 10 months ago
Subspace Analysis and Optimization for AAM Based Face Alignment
1 Active Appearance Models (AAM) is very powerful for extracting objects, e.g. faces, from images. It is composed of two parts: the AAM subspace model and the AAM search. While th...
Ming Zhao 0003, Chun Chen, Stan Z. Li, Jiajun Bu