Kernel methods for manifold estimation

被引：0
|
作者：
Schölkopf, B [1 ]
机构：
[1] Max Planck Inst Biol Cybernet, D-72076 Tubingen, Germany
来源：
COMPSTAT 2004: PROCEEDINGS IN COMPUTATIONAL STATISTICS | 2004年
关键词：
Kernel methods; support vector machines; quantile estimation;
D O I：
暂无
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
We describe methods for estimating manifolds in high-dimensional spacs. They work by mapping the data into a reproducing kernel Hilbert space and then determining regions in terms of hyperplanes.
引用
收藏
页码：441 / 452
页数：12
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