Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/39931
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dc.titleRecognition rule acquisition by an advanced extension matrix algorithm
dc.contributor.authorShi, Daming
dc.contributor.authorTan, Chew Lim
dc.contributor.authorShu, Wenhao
dc.date.accessioned2013-07-04T07:52:52Z
dc.date.available2013-07-04T07:52:52Z
dc.date.issued1999
dc.identifier.citationShi, Daming,Tan, Chew Lim,Shu, Wenhao (1999). Recognition rule acquisition by an advanced extension matrix algorithm. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 3 : III-950. ScholarBank@NUS Repository.
dc.identifier.issn08843627
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39931
dc.description.abstractAn advanced Extension Matrix algorithm is proposed, in which a heuristic search based on the average entropy is used to get the approximate solutions of the minimal complex, as well as a potential function is used to estimate the probability density function of the overlay area between positive and negative examples, so that the non-linear interfaces of the interclass areas may be obtained. The algorithm will be applied to supervised learning for Chinese character recognition to acquire recognition rules, and the implementations upon 751,000 loosely-constrained handwritten Chinese characters indicate that these methodologies can be applied to a practical recognition system with promising results.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleProceedings of the IEEE International Conference on Systems, Man and Cybernetics
dc.description.volume3
dc.description.pageIII-950
dc.description.codenPICYE
dc.identifier.isiutNOT_IN_WOS
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