自动化学报2005，Vol.31Issue(2)：202-208,7.
基于测地距离的支持向量机分类算法
Geodesic Distance for Support Vector Machines
摘要
Abstract
When dealing with pattern recognition problems one encounters different types of prior knowledge. It is important to incorporate such knowledge into classification method at hand. A very common type of prior knowledge is many data sets are on some kinds of manifolds. Distance based classification methods can make use of this by a modified distance measure called geodesic distance.We introduce a new kind of kernels for support vector machines which incorporate geodesic distance and therefore are applicable in cases such transformation invariance is known. Experiments results show that the performance of our method is comparable to that of other state-of-the-art method.关键词
Support vector machine/geodesic distance/kernel functionKey words
Support vector machine/geodesic distance/kernel function分类
信息技术与安全科学引用本文复制引用
全勇,杨杰..基于测地距离的支持向量机分类算法[J].自动化学报,2005,31(2):202-208,7.基金项目
Supported by National Natural Science Foundation of P. R. China (50174038, 30170274) （50174038, 30170274）
