{"title":"A decomposition algorithm based on the algebraic perceptron","authors":"T. Hanselmann, L. Noakes","doi":"10.1109/ANZIIS.2001.974088","DOIUrl":null,"url":null,"abstract":"This paper introduces a prototype algorithm for decomposing a binary image into simpler images, such as regions bounded by low-degree polynomials. The algorithm is based on the algebraic perceptron, but can be extended to use other support vector schemes.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"27 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZIIS.2001.974088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces a prototype algorithm for decomposing a binary image into simpler images, such as regions bounded by low-degree polynomials. The algorithm is based on the algebraic perceptron, but can be extended to use other support vector schemes.
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