Fisher Discriminant Analysis With Kernels (1999)
by
Sebastian Mika
,
Gunnar Rätsch
,
Jason Weston
,
Bernhard Schölkopf
,
Klaus-Robert Müller
| Citations: | 231 - 14 self |
BibTeX
@MISC{Mika99fisherdiscriminant,
author = {Sebastian Mika and Gunnar Rätsch and Jason Weston and Bernhard Schölkopf and Klaus-Robert Müller},
title = {Fisher Discriminant Analysis With Kernels},
year = {1999}
}
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Abstract
A non-linear classification technique based on Fisher's discriminant is proposed. The main ingredient is the kernel trick which allows the efficient computation of Fisher discriminant in feature space. The linear classification in feature space corresponds to a (powerful) non-linear decision function in input space. Large scale simulations demonstrate the competitiveness of our approach.
