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» Linear Regression for Face Recognition
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ICDE
2008
IEEE
203views Database» more  ICDE 2008»
16 years 1 months ago
Training Linear Discriminant Analysis in Linear Time
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
Deng Cai, Xiaofei He, Jiawei Han
TNN
2008
90views more  TNN 2008»
14 years 11 months ago
Shared Feature Extraction for Nearest Neighbor Face Recognition
In this paper, we propose a new supervised linear feature extraction technique for multiclass classification problems that is specially suited to the nearest neighbor classifier (N...
David Masip, Jordi Vitrià
84
Voted
ICPR
2008
IEEE
16 years 29 days ago
Multi-view face recognition by nonlinear tensor decomposition
We discuss a new multi-view face recognition method that extends a recently proposed nonlinear tensor decomposition technique. We use this technique to provide a generative face m...
Chunna Tian, Guoliang Fan, Xinbo Gao
ICCV
2003
IEEE
16 years 1 months ago
Learning a Locality Preserving Subspace for Visual Recognition
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
Xiaofei He, Shuicheng Yan, Yuxiao Hu, HongJiang Zh...
ICANN
2005
Springer
15 years 5 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