一种基于多个成对分类器的多类分类方法

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI:10.1109/ICDAR.2003.1227774

Tomoyuki Hamamura, H. Mizutani, Bunpei Irie

{"title":"一种基于多个成对分类器的多类分类方法","authors":"Tomoyuki Hamamura, H. Mizutani, Bunpei Irie","doi":"10.1109/ICDAR.2003.1227774","DOIUrl":null,"url":null,"abstract":"In this paper, a new method of composing a multi-classclassifier using pairwise classifiers is proposed. A\"Resemblance Model\" is exploited to calculate aposteriori probability for combining pairwise classifiers.We proved the validity of this model by usingapproximation of a posteriori probability formula. Usingthis theory, we can obtain the optimal decision. Anexperimental result of handwritten numeral recognition ispresented, supporting the effectiveness of our method.","PeriodicalId":249193,"journal":{"name":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","volume":"217 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"A multiclass classification method based on multiple pairwise classifiers\",\"authors\":\"Tomoyuki Hamamura, H. Mizutani, Bunpei Irie\",\"doi\":\"10.1109/ICDAR.2003.1227774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new method of composing a multi-classclassifier using pairwise classifiers is proposed. A\\\"Resemblance Model\\\" is exploited to calculate aposteriori probability for combining pairwise classifiers.We proved the validity of this model by usingapproximation of a posteriori probability formula. Usingthis theory, we can obtain the optimal decision. Anexperimental result of handwritten numeral recognition ispresented, supporting the effectiveness of our method.\",\"PeriodicalId\":249193,\"journal\":{\"name\":\"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.\",\"volume\":\"217 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDAR.2003.1227774\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2003.1227774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 25

摘要

提出了一种利用两两分类器组成多分类器的新方法。利用“相似性模型”计算成对分类器组合的后验概率。我们利用后验概率公式的近似证明了该模型的有效性。利用这一理论，我们可以得到最优决策。最后给出了手写体数字识别的实验结果，验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A multiclass classification method based on multiple pairwise classifiers

In this paper, a new method of composing a multi-classclassifier using pairwise classifiers is proposed. A"Resemblance Model" is exploited to calculate aposteriori probability for combining pairwise classifiers.We proved the validity of this model by usingapproximation of a posteriori probability formula. Usingthis theory, we can obtain the optimal decision. Anexperimental result of handwritten numeral recognition ispresented, supporting the effectiveness of our method.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.

自引率

0.00%

发文量