{"title":"Advanced character recognition 6610","authors":"G. Nagy","doi":"10.1109/ICDAR.2001.953744","DOIUrl":null,"url":null,"abstract":"ECSE 6610 Advanced Character Recognition. Principles and practice of the recognition of isolated or connected typeset, hand-printed, and cursive characters. Review of optical digitization, supervised and unsupervised estimation of classifier parameters, bias and variance, expectation maximization, the curse of dimensionality. Advanced classification techniques including classifier combinations, support vector machines, hidden Markov methods, styles, language context, adaptation, segmentation-free classifiers, indirect symbolic correlation. Prereq: ECSE 2610, Probability, Linear Algebra. Spring term annually.","PeriodicalId":277816,"journal":{"name":"Proceedings of Sixth International Conference on Document Analysis and Recognition","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Sixth International Conference on Document Analysis and Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2001.953744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
ECSE 6610 Advanced Character Recognition. Principles and practice of the recognition of isolated or connected typeset, hand-printed, and cursive characters. Review of optical digitization, supervised and unsupervised estimation of classifier parameters, bias and variance, expectation maximization, the curse of dimensionality. Advanced classification techniques including classifier combinations, support vector machines, hidden Markov methods, styles, language context, adaptation, segmentation-free classifiers, indirect symbolic correlation. Prereq: ECSE 2610, Probability, Linear Algebra. Spring term annually.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
