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BMVC
2010
13 years 2 months ago
Pairwise Macropixel Comparison Can Work at Least as Well as Advanced Holistic Algorithms for Face Recognition
It is well known that, due to illumination effects and the registration/alignment problem, it does not make sense to compare the "values" of two single-pixels for face r...
Liang Chen
ICCV
2001
IEEE
14 years 6 months ago
Pairwise Face Recognition
We develop a pairwise classification framework for face recognition, in which a class face recognition problem is divided into a set of ? ?? ? two class problems. Such a problem...
Guodong Guo, HongJiang Zhang, Stan Z. Li
CVPR
2001
IEEE
14 years 6 months ago
A Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition
The FERET evaluation compared recognition rates for different semi-automated and automated face recognition algorithms. We extend FERET by considering when differences in recognit...
J. Ross Beveridge, Kai She, Bruce A. Draper, Geof ...
MVA
2007
154views Computer Vision» more  MVA 2007»
13 years 6 months ago
Fisher Non-negative Matrix Factorization with Pairwise Weighting
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
Xi Li, Kazuhiro Fukui
AVBPA
2003
Springer
140views Biometrics» more  AVBPA 2003»
13 years 10 months ago
Combining SVM Classifiers for Multiclass Problem: Its Application to Face Recognition
Abstract. In face recognition, a simple classifier such as NNk − is frequently used. For a robust system, it is common to construct the multiclass classifier by combining the out...
Jaepil Ko, Hyeran Byun