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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/79

Title: Logic Based Pattern Recognition - Ontology Content (2)
Authors: Aslanyan, Levon
Ryazanov, Vladimir
Keywords: Ontology
Logic Separation
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Logic based Pattern Recognition extends the well known similarity models, where the distance measure is the base instrument for recognition. Initial part (1) of current publication in iTECH-06 reduces the logic based recognition models to the reduced disjunctive normal forms of partially defined Boolean functions. This step appears as a way to alternative pattern recognition instruments through combining metric and logic hypotheses and features, leading to studies of logic forms, hypotheses, hierarchies of hypotheses and effective algorithmic solutions. Current part (2) provides probabilistic conclusions on effective recognition by logic means in a model environment of binary attributes.
URI: http://hdl.handle.net/10525/79
ISSN: 1313-0463
Appears in Collections:Volume 15 Number 4

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