Multi-classes Semi-supervised Learning on Riemannian Manifolds

被引：0
|
作者：
Zhao, Zhong-Qiu [1 ,2 ]
Glotin, Herve [2 ]
Gao, Jun [1 ]
Wu, Xin-Dong [1 ]
机构：
[1] Hefei Univ Technol, Comp & Informat Sch, Hefei 230009, Anhui, Peoples R China
[2] Univ Sud Toulon Var, CNRS, LSIS, UMR, Toulon, France
来源：
PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NATURAL COMPUTING, VOL I | 2009年
基金：
中国国家自然科学基金;
关键词：
semi-supervised learning; Riemannian manifolds; learning speed; multi-classes problem; DIMENSIONALITY REDUCTION;
D O I：
10.1109/CINC.2009.105
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A modified semi-supervised learning algorithm based on Riemannian manifolds is proposed, which extends the applicable field to the case of multi-classes problem. Furthermore, the modified version largely increases the learning speed, while attains the classification performance as satisfying as the original algorithm.
引用
收藏
页码：527 / +
页数：3
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