Asymmetric kernel method and its application to Fisher's discriminant

被引：0
|
作者：
Koide, Naoya [1 ]
Yamashita, Yukihiko [1 ]
机构：
[1] Tokyo Inst Technol, Grad Sch Sci & Engn, Meguro Ku, Tokyo 1528552, Japan
来源：
18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：820 / +
页数：2
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