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» An Improvement on PCA Algorithm for Face Recognition
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ICCV
2003
IEEE
14 years 9 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...
ICIAR
2005
Springer
14 years 27 days ago
Unequal Error Protection Using Convolutional Codes for PCA-Coded Images
Image communication is a significant research area which involves improvement in image coding and communication techniques. In this paper, Principal Component Analysis (PCA) is use...
Sabina Hosic, Aykut Hocanin, Hasan Demirel
ICPR
2008
IEEE
14 years 8 months 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
IEEEICCI
2007
IEEE
14 years 1 months ago
A Simple High Accuracy Approach for Face Recognition
— The theory that Electoral College is more stable than Direct Popular Vote is applied in face recognition. By simplly adopting most traditional PCA approach, the experiments in ...
Liang Chen, Naoyuki Tokuda
ICPR
2008
IEEE
14 years 8 months ago
Efficient tensor based face recognition
This paper addresses the limitation of current multilinear PCA based techniques, in terms of prohibitive computational cost of testing and poor generalisation in some scenarios, w...
Santu Rana, Wanquan Liu, Mihai Lazarescu, Svetha V...