Attributed Grammar-A Tool For Combining Syntactic and Statistical Approaches to Pattern Recognition

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题名:	Attributed Grammar-A Tool For Combining Syntactic and Statistical Approaches to Pattern Recognition
作者:	W.H. Tsai;K.S.Fu
贡献者:	Department of Information Communication
关键词:	Pattern recognition;Syntactic structures;Semantic attributes;Extracting primitives;Syntax analysis;Bayes decision
日期:	1980
上传时间:	2009-11-17 11:12:48 (UTC+0)
出版者:	Asia University
摘要:	Attributed grammars are defined from the pattern recognition point of view and shown to be useful for descriptions of syntactic structures as well as semantic attributes in primitives, subpatterns, and patterns. A pattern analysis using attributed grammars is proposed for pattern classification and description. This system extracts primitives and their attributes after preprocessing, performs syntax analysis of the resulting pattern representations, computes and extracts subpattern attributes for syntactically accepted patterns, and finally makes decisions according to the Bayes decision rule.
關聯:	IEEE Transactions on Systems, Man, and Cybernetics SMC-10(12):873-885
显示于类别:	[資訊傳播學系] 期刊論文

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