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    ASIA unversity > 資訊學院 > 資訊傳播學系 > 期刊論文 >  Item 310904400/3410


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/3410


    Title: A pattern deformational model and Bayes error-correcting recognition system
    Authors: WH Tsai;KS Fu
    Contributors: Department of Information Communication
    Keywords: COMPUTER PROGRAMS;PATTERN RECOGNITION;ERROR CORRECTION CODES;RANDOM VARIABLES;, DEFORMATION, CLASSIFICATION, RECOGNITION;BAYES THEOREM;PARSERS;GRAMMARS
    Date: 1979-12
    Issue Date: 2009-11-17 19:16:55 (UTC+8)
    Publisher: Asia University
    Abstract: A pattern deformational model is proposed in this paper. Pattern deformations are categorized into two types: local deformation and structural deformation. A structure-preserving local deformation can be decomposed into a syntactic deformation followed by a semantic deformation, the former being induced on primitive structures and the latter on primitive properties. Bayes error-correcting parsing algorithms are proposed accordingly which not only can perform normal syntax analysis but also can make statistical decisions. An optimum Bayes error-correcting recognition system is then formulated for pattern classification. The system can be considered as a hybrid pattern classifier which uses both syntactic and statistical pattern recognition techniques.
    Relation: IEEE Transactions on Systems, Man, and Cybernetics SMC-9:745-756
    Appears in Collections:[資訊傳播學系] 期刊論文

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