bibtype C - Conference Paper (international conference)
ARLID 0364544
utime 20240111140800.4
mtime 20110927235959.9
title (primary) (eng) Comparison of State Estimation Using Finite Mixtures and Hidden Markov Models
specification
page_count 5 s.
media_type CD
serial
ARLID cav_un_epca*0364556
ISBN 978-1-4577-1424-5
title Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems : Technology and Application
page_num 527-531
publisher
place Piscataway
name IEEE
year 2011
keyword mixture models
keyword hidden Markov models
keyword state estimation
keyword online estimation
author (primary)
ARLID cav_un_auth*0213012
name1 Nagy
name2 I.
country CZ
author
ARLID cav_un_auth*0108105
name1 Suzdaleva
name2 Evgenia
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
institution UTIA-B
full_dept Department of Signal Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0274528
name1 Mlynářová
name2 Tereza
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2011/AS/nagy-comparison of state estimation using finite mixtures and hidden markov models.pdf
cas_special
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
project
project_id TA01030123
agency GA TA ČR
ARLID cav_un_auth*0271776
research CEZ:AV0Z10750506
abstract (eng) Many various algorithms are developed for state estimation of dynamic switching systems. It is not a straightforward task to choose the most suitable one. This paper deals with testing of state estimation via two wellknown approaches: recursive estimation with finite mixtures and iterative technique with hidden Markov models. A discussion of comparison of these online and offline counterparts is of true interest. The paper describes experiments providing a comparison of these methods.
action
ARLID cav_un_auth*0274520
name 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications
place Prague
dates 15.09.2011-17.09.2011
country CZ
reportyear 2012
RIV BC
num_of_auth 3
permalink http://hdl.handle.net/11104/0200007
arlyear 2011
mrcbU56 pdf
mrcbU63 cav_un_epca*0364556 Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems : Technology and Application 978-1-4577-1424-5 527 531 Piscataway IEEE 2011