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

Weiwei Du, Kiichi Urahama

研究成果: ジャーナルへの寄稿学術誌査読

2 被引用数 (Scopus)

抄録

A robust semi-supervisedmethod 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.

本文言語英語
ページ(範囲)1262-1268
ページ数7
ジャーナルJournal of Advanced Computational Intelligence and Intelligent Informatics
15
9
DOI
出版ステータス出版済み - 1月 1 2011

!!!All Science Journal Classification (ASJC) codes

  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • 人工知能

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