Invariant Feature Extraction and Classification in Kernel Spaces
by
Sebastian Mika
,
Gunnar Rätsch
,
Jason Weston
,
Bernhard Schölkopf
,
Alex Smola
,
Klaus-Robert Müller
| Citations: | 32 - 7 self |
BibTeX
@MISC{Mika_invariantfeature,
author = {Sebastian Mika and Gunnar Rätsch and Jason Weston and Bernhard Schölkopf and Alex Smola and Klaus-Robert Müller},
title = {Invariant Feature Extraction and Classification in Kernel Spaces },
year = {}
}
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Abstract
We incorporate prior knowledge to construct nonlinear algorithms for invariant feature extraction and discrimination. Employing a unified framework in terms of a nonlinear variant of the Rayleigh coefficient, we propose non-linear generalizations of Fisher's discriminant and oriented PCA using Support Vector kernel functions.
