Feature Selection - A Very Compact Survey Over the Diversity of Existing Approaches

0357267 20240103194938.320110404235959.9 Feature Selection - A Very Compact Survey Over the Diversity of Existing Approaches Praha ÚTIA AV ČR, v.v.i 2010 5 s. Research Report 2285 feature selection dimensionality reduction survey cav_un_auth*0101197 Somol Petr Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101171 Novovičová Jana Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101182 Pudil Pavel Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0021087 Kittler J. GB 2C06019 GA MŠk cav_un_auth*0216518 1M0572 GA MŠk cav_un_auth*0001814 GA102/08/0593 GA ČR cav_un_auth*0239567 GA102/07/1594 GA ČR cav_un_auth*0228611 CEZ:AV0Z10750506 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. 2012 BD http://hdl.handle.net/11104/0195585 2010 2010 Praha ÚTIA AV ČR, v.v.i