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Pattern Recognition of Noisy Sequences of Behavioural Events using Functional Combinators
Author(s) -
Tony Clark
Publication year - 1994
Publication title -
the computer journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.319
H-Index - 64
eISSN - 1460-2067
pISSN - 0010-4620
DOI - 10.1093/comjnl/37.5.385
Subject(s) - computer science , combinatory logic , simple (philosophy) , set (abstract data type) , observable , rule based machine translation , meaning (existential) , artificial intelligence , mechanism (biology) , determinism , natural language processing , functional programming , theoretical computer science , programming language , psychotherapist , psychology , philosophy , physics , epistemology , quantum mechanics
Vision systems are now delivering real-time trackedand classified data from which behaviours can beinferred. Behavioural specifications of observableentities are viewed as attribute grammars with generalconstraints on the values of the attributes. Thecharacteristic features of realistic input data to abehavioural recogniser are missing, inserted andnoisy values. Behaviour recognition is defined interms of a simple language which is used to expressbehaviour specifications. The meaning...

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