Semantic Scholar Open Access 1999 3112 sitasi

Fisher discriminant analysis with kernels

S. Mika Gunnar Rätsch J. Weston B. Scholkopf K.R. Mullers

Abstrak

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.

Topik & Kata Kunci

Mathematics Computer Science

Penulis (5)

S. Mika

Gunnar Rätsch

J. Weston

B. Scholkopf

K.R. Mullers

Format Sitasi

APA MLA BibTeX

Mika, S., Rätsch, G., Weston, J., Scholkopf, B., Mullers, K. (1999). Fisher discriminant analysis with kernels. https://doi.org/10.1109/NNSP.1999.788121

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Informasi Jurnal

Tahun Terbit: 1999
Bahasa: en
Total Sitasi: 3112×
Sumber Database: Semantic Scholar
DOI: 10.1109/NNSP.1999.788121
Akses: Open Access ✓