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Semi-supervised Classification by Local Coordination

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成果类型:
期刊论文、会议论文
作者:
Yang, Gelan*;Xu, Xue;Yang, Gang;Zhang, Jianming
通讯作者:
Yang, Gelan
作者机构:
[Yang, Gelan] Hunan City Univ, Dept Comp Sci, Yiyang, Peoples R China.
[Xu, Xue] Univ Sci & Technol China, Dept Automat, Hefei, Peoples R China.
[Yang, Gang] Ecole Super Elect, Dept Power & Energy Syst, Gif Sur Yvette, France.
[Zhang, Jianming] Changsha Univ Sci & Technol, Coll Comp & Commun Engn, Changsha, Peoples R China.
通讯机构:
[Yang, Gelan] H
Hunan City Univ, Dept Comp Sci, Yiyang, Peoples R China.
语种:
英文
关键词:
mixture of factor analyzers;local linear coordinate;semi-supervised classification;manifold learning
期刊:
Lecture Notes in Computer Science
ISSN:
0302-9743
年:
2010
卷:
6444
期:
PART 2
页码:
517-524
会议名称:
17th International Conference on Neural Information Processing
会议论文集名称:
Lecture Notes in Computer Science
会议时间:
NOV 22-25, 2010
会议地点:
Sydney, AUSTRALIA
会议主办单位:
[Yang, Gelan] Hunan City Univ, Dept Comp Sci, Yiyang, Peoples R China.^[Xu, Xue] Univ Sci & Technol China, Dept Automat, Hefei, Peoples R China.^[Yang, Gang] Ecole Super Elect, Dept Power & Energy Syst, Gif Sur Yvette, France.^[Zhang, Jianming] Changsha Univ Sci & Technol, Coll Comp & Commun Engn, Changsha, Peoples R China.
会议赞助商:
Asia Pacific Neural Network Assembly
主编:
Wong, KW Mendis, BS Bouzerdoum, A
出版地:
HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者:
SPRINGER-VERLAG BERLIN
ISBN:
978-3-642-17533-6
机构署名:
本校为第一且通讯机构
院系归属:
信息与电子工程学院
摘要:
Graph-based methods for semi-supervised learning use graph to smooth the labels of the points. However, most of them are transductive thus can't give predictions for the unlabeled data outside the training set directly. In this paper, we propose an inductive graph-based algorithm that produces a classifier defined on the whole ambient space. A smooth nonlinear projection between the sample space and the label value space is achieved by local dimension reduction and coordination. The effectiveness of the proposed algorithm is...

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