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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
Asymmetric kernel method and its application to Fisher's discriminant
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Naoya Koide, Tokyo Institute of Technology, Graduate School of Science and Engineering, Japan
Yukihiko Yamashita, Tokyo Institute of Technology, Graduate School of Science and Engineering, Japan
In this paper, we propose the asymmetric kernel method. Furthermore, we apply it to Fisher's discriminant and provide an kernel Fisher's discriminant with variable kernel parameters. We also provide the experimental result of the existing and the new kernel Fisher's discriminants by using several standard datasets and show the advantage of our method.
Citation:
Naoya Koide, Yukihiko Yamashita, "Asymmetric kernel method and its application to Fisher's discriminant," icpr, vol. 2, pp.820-824, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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