bibtype J - Journal Article
ARLID 0357017
utime 20240903204331.7
mtime 20110228235959.9
title (primary) (eng) Feature Selection Software to Improve Accuracy and Reduce Cost in Automated Recognition Systems
specification
page_count 1 s.
serial
ARLID cav_un_epca*0290490
ISSN 0926-4981
title ERCIM News
volume_id 2011
volume 84 (2011)
page_num 54-54
publisher
name European Research Consortium for Informatics and Mathematics
keyword feature selection
keyword software library
keyword machine learning
author (primary)
ARLID cav_un_auth*0101197
name1 Somol
name2 Petr
full_dept (cz) Rozpoznávání obrazu
full_dept (eng) Department of Pattern Recognition
department (cz) RO
department (eng) RO
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/2011/RO/somol-feature selection software to improve accuracy and reduce cost in automated recognition systems.pdf
cas_special
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
project
project_id 2C06019
agency GA MŠk
country CZ
ARLID cav_un_auth*0216518
research CEZ:AV0Z10750506
abstract (eng) A specialized software library that helps identify the most informative measurements used in automated recognition systems has been made available to the public by researchers from the Institute of Information Theory and Automation of the Czech Academy of Sciences.
reportyear 2011
RIV BD
num_of_auth 1
permalink http://hdl.handle.net/11104/0195391
arlyear 2011
mrcbU63 cav_un_epca*0290490 ERCIM News 0926-4981 1564-0094 Roč. 2011 č. 84 2011 54 54 European Research Consortium for Informatics and Mathematics