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» Fisher Kernel Criterion for Discriminant Analysis
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ESANN
2007
13 years 9 months ago
A novel kernel-based method for local pattern extraction in random process signals
In many applications, one is interested to detect certain patterns in random process signals. We consider a class of random process signals which contain sub similarities at rando...
Majid Beigi, Andreas Zell
JMLR
2010
143views more  JMLR 2010»
13 years 2 months ago
Regularized Discriminant Analysis, Ridge Regression and Beyond
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...
Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jor...
ICIP
2007
IEEE
14 years 1 months ago
A Novel Kernel Discriminant Analysis for Face Verification
In this paper a novel non-linear subspace method for face verification is proposed. The problem of face verification is considered as a two-class problem (genuine versus imposto...
Georgios Goudelis, Stefanos Zafeiriou, Anastasios ...
ICPR
2008
IEEE
14 years 1 months ago
Fuzzy maximum scatter discriminant analysis and its application to face recognition
In this paper, a reformative scatter difference discriminant criterion (SDDC) with fuzzy set theory is studied. The scatter difference between between-class and within-class as di...
Jianguo Wang, Wankou Yang, Jingyu Yang
ICPR
2008
IEEE
14 years 1 months ago
Regularized discriminant analysis for transformation-invariant object recognition
We present a novel method for incorporating prior knowledge about invariances in object recognition for discriminant analysis. In contrast to conventional isotropic regularization...
Yung-Kyun Noh, Jihun Ham, Daniel D. Lee