bibtype J - Journal Article
ARLID 0411018
utime 20240103182255.9
mtime 20060210235959.9
title (primary) (eng) Feature selection toolbox
specification
page_count 11 s.
serial
ARLID cav_un_epca*0257388
ISSN 0031-3203
title Pattern Recognition
volume_id 35
volume 12 (2002)
page_num 2749-2759
publisher
name Elsevier
keyword pattern recognition
keyword feature selection
keyword subset search
author (primary)
ARLID cav_un_auth*0101197
name1 Somol
name2 Petr
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101182
name1 Pudil
name2 Pavel
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/historie/somol-feature selection toolbox.pdf
COSATI 09K
COSATI 09H
cas_special
project
project_id ME 187
agency GA MŠk
ARLID cav_un_auth*0028306
project
project_id GA402/01/0981
agency GA ČR
ARLID cav_un_auth*0008962
research CEZ:AV0Z1075907
abstract (eng) A software package developed for the purpose of feature selection in statistical pattern recognition is presented. The software tool includes both several classical and new methods suitable for dimensionality reduction, classification and data representation. Examples of solved problems are given, as well as observations regarding the behavior of criterion functions.
RIV JC
department RO
permalink http://hdl.handle.net/11104/0131105
ID_orig UTIA-B 20030005
arlyear 2002
mrcbU63 cav_un_epca*0257388 Pattern Recognition 0031-3203 1873-5142 Roč. 35 č. 12 2002 2749 2759 Elsevier