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Fisher discriminant analysis with kernels



Hu, Y.-H. ; IEEE Signal Processing Society, Neural Networks Technical Committee:
Neural networks for signal processing IX : Proceedings of the 1999 IEEE Signal Processing Society workshop, papers presented at the Ninth IEEE Workshop on Neural Networks for Signal Processing, held in Madison, Wisconsin, August 23 -25, 1999
Piscataway: IEEE Operations Center, 1999
ISBN: 0-7803-5673-X
Workshop on Neural Networks for Signal Processing (NNSP) <9, 1999, Madison/Wis.>
Conference Paper
Fraunhofer FIRST ()

A non-linear classification technique based on Fisher's discriminant is proposed. Main ingredient is the kernel trick which allows to efficiently compute the linear 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.