Error-correcting semi-supervised pattern recognition with mode filter on graphs

Weiwei Du, Kiichi Urahama

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

2 被引用数 (Scopus)

抄録

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 originally 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 speeds. 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.

元の言語英語
ホスト出版物のタイトル2010 2nd International Symposium on Aware Computing, ISAC 2010 - Symposium Guide
ページ6-11
ページ数6
DOI
出版物ステータス出版済み - 2010
イベント2010 2nd International Symposium on Aware Computing, ISAC 2010 - Sapporo, 日本
継続期間: 11 1 201011 4 2010

その他

その他2010 2nd International Symposium on Aware Computing, ISAC 2010
日本
Sapporo
期間11/1/1011/4/10

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications

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