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Pattern Recognition Based on Multidimensional Models
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SYSNO ASEP 0083042 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Pattern Recognition Based on Multidimensional Models Title Rozpoznávání založené na vícerozměrných modelech Author(s) Haindl, Michal (UTIA-B) RID, ORCID
Pudil, Pavel (UTIA-B) RID
Somol, Petr (UTIA-B) RIDSource Title MATEO - The European Network of Mechatronics Centres and Industrial Controllers 2006. - Plzeň : West Bohemian University, Pilsen, 2006 / Troblova - ISBN 80-7043-508-9 Pages s. 80-86 Number of pages 7 s. Action MATEO - The European Network of Mechatronics Centres and Industrial Controllers 2006 Event date 14.12.2006-16.12.2006 VEvent location Železná Ruda Country CZ - Czech Republic Event type EUR Language eng - English Country CZ - Czech Republic Keywords Pattern Recognition ; Mutidimensional Stratistical Models Subject RIV BD - Theory of Information R&D Projects 1ET400750407 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) IAA2075302 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation This chapter explains general model-based approaches to several basic pattern recognition applications followed by a concise description of three fundamental multi-dimensional data model classes. For each model class a solution to parameter estimation and model data synthesis is outlined. Finally an overview of the strengths and weaknesses of studied multi-dimensional data model groups is given. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2007
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