Presentation 2004/3/12
Partially Supervised Learning by Label Propagation
Kohei INOUE, Kiichi URAHAMA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A method is presented for partially supervised learning by a simple iterative method. Labels are propagated to unlabeled data via the similarity between data. The relationship to the regularization method and the convergence property of the present method are shown. A generalization method is presented for propagating labels to newly inputed data and is applied to face recognition. The present method is also applied to image retrieval.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) partially supervised learning / label propagation / pattern classification / similarity sreach
Paper # PRMU-295
Date of Issue

Conference Information
Committee PRMU
Conference Date 2004/3/12(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Partially Supervised Learning by Label Propagation
Sub Title (in English)
Keyword(1) partially supervised learning
Keyword(2) label propagation
Keyword(3) pattern classification
Keyword(4) similarity sreach
1st Author's Name Kohei INOUE
1st Author's Affiliation Faculty of Design, Kyushu University()
2nd Author's Name Kiichi URAHAMA
2nd Author's Affiliation Faculty of Design, Kyushu University
Date 2004/3/12
Paper # PRMU-295
Volume (vol) vol.103
Number (no) 738
Page pp.pp.-
#Pages 4
Date of Issue