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1 2018

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Generative power of reduction-based parsable ETPR(k) graph grammars for syntactic pattern recognition

Flasiński M.

Journal of Automation Mobile Robotics and Intelligent Systems

2018

Vol. 12, No. 2

61--81

Further results of research into parsable graph grammars used for syntactic pattern recognition (Pattern Recognition: 21, 623-629 (1988); 23, 765-774 (1990); 24, 12-23 (1991); 26, 1-16 (1993); 43, 2249-2264 (2010), Comput. Vision Graph. Image Process. 47, 1-21 (1989), Computer-Aided Design 27, 403-433 (1995), Theoret. Comp. Sci. 201, 189-231 (1998), Pattern Analysis Applications bf 17, 465-480 (2014)) are presented in the paper. The generative power of reduction-based parsable ETPR(k) graph grammars is investigated. The analogy between the triad of CF - LL(k) - LR(k) string languages and the triad of NLC - ETPL(k) - ETPR(k) graph languages is discussed.