Analysis of a model for parallel image processing
Pattern Recognition - Parallel and other image analysis methods
Parallel processing of encoded bit strings
Pattern Recognition
Parsing of edNLC-graph grammars for scene analysis
Pattern Recognition
Semantically driven parsing of context-free languages
The Computer Journal
An attribute evaluation of context-free languages
Information Processing Letters
Power properties of NLC graph grammars with a polynomial membership problem
Theoretical Computer Science
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
VLSI and Parallel Computing for Pattern Recognition and Artificial Intelligence
VLSI and Parallel Computing for Pattern Recognition and Artificial Intelligence
Parallel Image Analysis: Theory and Applications
Parallel Image Analysis: Theory and Applications
Parallel Image Analysis: Tools and Models
Parallel Image Analysis: Tools and Models
Parallel Evaluation of Attribute Grammars
IEEE Transactions on Parallel and Distributed Systems
Automata-Based Multi-agent Model as a Tool for Constructing Real-Time Intelligent Control Systems
CEEMAS '01 Revised Papers from the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems: From Theory to Practice in Multi-Agent Systems
Inference of Parsable Graph Grammars for Syntactic Pattern Recognition
Fundamenta Informaticae
Multi-agent System for Recognition of Hand Postures
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
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Real-time syntactic pattern recogniton imposes strict computing time constraints on new techniques developed. Recently, a method for an analysis of hand postures of the Polish Sign Language based on the ETPL(k) graph grammars (Flasinski: Patt. Recogn. 26 (1993), 1-16; Theor. Comp. Sci. 201 (1998), 189-231) has been constructed. In order to make a system implemented more feasible for the users, a research into parallelization of a pattern recognition process has been led. Possible techniques of tasks distribution have been tested. It has allowed us to define an optimum strategy of parallelization. The results are presented in the paper.