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Current feature selection techniques in pattern recognition
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SYSNO ASEP 0411320 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Current feature selection techniques in pattern recognition Title Současné metody výběru příznaků v rozpoznávání obrazů Author(s) Pudil, Pavel (UTIA-B) RID
Somol, Petr (UTIA-B) RIDIssue data Heidelberg: Springer, 2005 ISBN 3-540-25054-9 Source Title Proceedings of the 4th International Conference on Computer Recognition Systems / Kurzynski M. ; Puchala E. ; Wozniak M. Pages s. 53-68 Series Advances in Soft Computing. Number of pages 16 s. Action CORES'05 /4./ Event date 22.05.2005-25.05.2005 VEvent location Rydzyna Country PL - Poland Event type WRD Language eng - English Country DE - Germany Keywords feature selection ; statistical pattern recognition Subject RIV BD - Theory of Information R&D Projects GA402/03/1310 GA ČR - Czech Science Foundation (CSF) 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation The paper addresses the problem of feature selection (abbreviated FS in the sequel) in statistical pattern recognition with particular emphasis to recent knowledge. Besides over-viewing advances in methodology it attempts to put them into a taxonomical framework. The methods discussed include the latest variants of the Branch & Bound algorithm, enhanced sub-optimal techniques and the simultaneous semi-parametric probability density function modeling and feature space selection method. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2006
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