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Article type: Research Article
Authors: Flasiński, Mariusz
Affiliations: Chair of Information Technology Systems, Jagiellonian University, ul. F. Straszewskiego 27, 31-110 Cracow, Poland. E-mail: [email protected]
Abstract: A research into a syntactic pattern recognition model based on (edNLC) graph grammars (introduced and investigated in Janssens and Rozenberg Inform. Sci. 20 (1980), 191-216, and Janssens, Rozenberg and Verraedt Comp. Vis. Graph. Image Process. 18 (1982), 279-304) has resulted in defining the efficient, O(n^2), parsing schemes for the ETPL(k) subclass of these grammars and applying it for scene analysis, CAD/CAMobject analysis and constructingAI systems (Flasiński Patt. Recogn. 21 (1988), 623-629, Flasiński Comp. Vis. Graph. Image Process. 47 (1989), 1-21, Flasiński Patt. Recogn. 26 (1993), 1-16, Flasiński Comp. Aided-Des. 27 (1995), 403-433, Flasiński Theor. Comp. Sci. 201 (1998), 189-231). In the paper the grammatical inference method for the parsable ETPL(k) graph grammars is defined, completing the development of this syntactic pattern recognition model.
Keywords: syntactic pattern recognition, graph grammar, graph parsing, grammatical inference
Journal: Fundamenta Informaticae, vol. 80, no. 4, pp. 379-413, 2007
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