The convergent method of constructing polynomial discriminant functions for pattern recognition

Flasiński, Mariusz; Lewicki, Grzegorz

doi:10.1016/0031-3203(91)90098-p

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Graph-based Models1

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2013

2024

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Cited by 2 publications

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“…In result ETPL(k)/ETPR(k) subclasses of NLC grammars could have been applied, among others, for scene analysis [53,55], CAD/CAM integration [56], Polish Sign Language recognition [65]. The error-correcting ETPL(k) syntax analyzer and its attributed version have been used for the recognition of vague/variant patterns [54,64]. Stochastic ETPL(k) grammars were applied for manufacturing quality control [60], and attributed programmed ETPL(k) grammars -for process monitoring and control [63].…”

Section: Graph-based Modelsmentioning

confidence: 99%

A Survey on Syntactic Pattern Recognition Methods in Bioinformatics

Flasiński

2024

csci

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Formal tools and models of syntactic pattern recognition which are used in bioinformatics are introduced and characterized in the paper. They include, among others: stochastic (string) grammars and automata, hidden Markov models, programmed grammars, attributed grammars, stochastic tree grammars, Tree Adjoining Grammars (TAGs), algebraic dynamic programming, NLC- and NCE-type graph grammars, and algebraic graph transformation systems. The survey of applications of these formal tools and models in bioinformatics is presented.

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