Presentation 2010-01-21
Error-Correcting Semi-Supervised Learning with Mode-Filter on Graphs
Weiwei DU, Kiichi URAHAMA,
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Abstract(in English) A robust semi-supervised method using the mode filter has been presented for learning with partially-labeled training data including label errors. The mode filter has been developed for smoothing images contaminated with impulsive noises. However it needs nonlinear optimization which is usually solved with iterative methods. In this paper, we propose a direct solution method with full search of solution spaces. This direct method outperforms the iterative algorithm in classification rates and computational speed. Additional iterations of the mode filter raise up the classification rates. We extend the mode filter by introducing weights based on the isolation degree of data, and show the effectiveness of this extension.
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Keyword(in English) semi-supervised learning / mode filter / error correcting learning / robustness
Paper # CQ2009-73,PRMU2009-172,SP2009-113,MVE2009-95
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Conference Information
Committee CQ
Conference Date 2010/1/14(1days)
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Paper Information
Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Error-Correcting Semi-Supervised Learning with Mode-Filter on Graphs
Sub Title (in English)
Keyword(1) semi-supervised learning
Keyword(2) mode filter
Keyword(3) error correcting learning
Keyword(4) robustness
1st Author's Name Weiwei DU
1st Author's Affiliation ()
2nd Author's Name Kiichi URAHAMA
2nd Author's Affiliation
Date 2010-01-21
Paper # CQ2009-73,PRMU2009-172,SP2009-113,MVE2009-95
Volume (vol) vol.109
Number (no) 373
Page pp.pp.-
#Pages 6
Date of Issue