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Feature Selection - A Very Compact Survey Over the Diversity of Existing Approaches
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SYSNO ASEP 0357267 Document Type V - Research Report R&D Document Type The record was not marked in the RIV Title Feature Selection - A Very Compact Survey Over the Diversity of Existing Approaches Author(s) Somol, Petr (UTIA-B) RID
Novovičová, Jana (UTIA-B)
Pudil, Pavel (UTIA-B) RID
Kittler, J. (GB)Issue data Praha: ÚTIA AV ČR, v.v.i, 2010 Series Research Report Series number 2285 Number of pages 5 s. Language eng - English Country CZ - Czech Republic Keywords feature selection ; dimensionality reduction ; survey Subject RIV BD - Theory of Information R&D Projects 2C06019 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA102/08/0593 GA ČR - Czech Science Foundation (CSF) GA102/07/1594 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation Feature Selection has been a subject of extensive research that nowadays extends far beyond the boundaries of statistical pattern recognition. We provide a concise yet wide view of the topic including representative references in an attempt to point out that important results can be easily overlooked or duplicated in a variety of – even indirectly related – research fields. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2012
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