Recent advances in methodology of feature selection for statistical pattern recognition

Number of the records: 1

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SYSNO ASEP	0410696
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Recent advances in methodology of feature selection for statistical pattern recognition
Author(s)	Pudil, Pavel (UTIA-B)_RID Somol, Petr (UTIA-B)_RID
Issue data	Minsk: Belarussian State University, 2001
ISBN	985-445-491-6
Source Title	Computer Data Analysis and Modeling. Proceedings of the Sixth International Conference / Aivazian S. ; Kharin Y. ; Rieder H.
Pages	s. 163-171
Number of pages	9 s.
Action	Computer Data Analysis and Modeling
Event date	10.09.2001-14.09.2001
VEvent location	Minsk
Country	BY - Belarus
Event type	WRD
Language	eng - English
Country	BY - Belarus
Keywords	statistical pattern recognition ; feature selection ; floating-search methods
Subject RIV	JD - Computer Applications, Robotics
R&D Projects	LN00B107 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	GA402/01/0981 GA ČR - Czech Science Foundation (CSF)
CEZ	1075907
Annotation	The paper addresses the problem of feature selection in statistical pattern recognition and puts the available methods and new advances into a taxonomical framework.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.

Number of the records: 1