bibtype C - Conference Paper (international conference)
ARLID 0410599
utime 20240103182225.5
mtime 20060210235959.9
ISBN 3-540-42284-6
title (primary) (eng) Information analysis of multiple classifier fusion
publisher
place Berlin
name Springer
pub_time 2001
specification
page_count 10 s.
edition
name Lecture Notes in Computer Science.
volume_id 2096
serial
title Multiple Classifier Systems
page_num 168-177
editor
name1 Kittler
name2 J.
editor
name1 Roli
name2 F.
keyword pattern recognition
keyword finite mixtures
keyword multiple solutions
author (primary)
ARLID cav_un_auth*0101091
name1 Grim
name2 Jiří
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*0021087
name1 Kittler
name2 J.
country GB
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.
author
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.
COSATI 12B
cas_special
project
project_id GA402/01/0981
agency GA ČR
ARLID cav_un_auth*0008962
project
project_id KSK1019101
agency GA AV ČR
ARLID cav_un_auth*0000219
research AV0Z1075907
abstract (eng) We consider a general scheme of parallel classifier combinations in the framework of statistical pattern recognition. Each statistical classifier defines a set of output variables in terms of a posteriori probabilities, i.e. it is used as a feature extractor. The output vectors of classifiers are combined in parallel. The statistical Shannon information is used as a criterion to compare different combining schemes. By means of relatively simple arguments we derive a hierarchy between different methods.
action
ARLID cav_un_auth*0212782
name Multiple Classifier Systems. MCS 2001
place Cambridge
country GB
dates 02.07.2001-04.07.2001
RIV BB
department RO
permalink http://hdl.handle.net/11104/0130688
ID_orig UTIA-B 20010068
arlyear 2001
mrcbU10 2001
mrcbU10 Berlin Springer
mrcbU12 3-540-42284-6
mrcbU63 Multiple Classifier Systems 168 177
mrcbU67 Kittler J. 340
mrcbU67 Roli F. 340