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PAMI
2002

Two Variations on Fisher's Linear Discriminant for Pattern Recognition

8 years 11 months ago
Two Variations on Fisher's Linear Discriminant for Pattern Recognition
Discriminants are often used in pattern recognition to separate clusters of points in some multidimensional "feature" space. This paper provides two fast and simple techniques for improving on the classification performance provided by Fisher's linear discriminant for two classes. Both of these methods are also extended to nonlinear decision surfaces through the use of Mercer kernels.
Tristrom Cooke
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where PAMI
Authors Tristrom Cooke
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