bibtype C - Conference Paper (international conference)
ARLID 0356510
utime 20240103194845.7
mtime 20110218235959.9
title (primary) (eng) On minimization of multivariate entropy functionals
specification
page_count 5 s.
media_type WWW
serial
ARLID cav_un_epca*0356677
ISBN 978-1-4244-4535-6
title Proceedings of the 2009 IEEE Information Theory Workshop on Networking and Information
page_num 96-100
publisher
place Volos
name IEEE
year 2009
keyword convex integral functionals
keyword entropy
keyword f-divergence
keyword Bregman distance
author (primary)
ARLID cav_un_auth*0015571
name1 Csiszár
name2 I.
country HU
author
ARLID cav_un_auth*0101161
name1 Matúš
name2 František
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department MTR
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2011/MTR/matus-on minimization of multivariate entropy functionals.pdf
cas_special
project
project_id GA201/08/0539
agency GA ČR
ARLID cav_un_auth*0239648
project
project_id IAA100750603
agency GA AV ČR
ARLID cav_un_auth*0216427
research CEZ:AV0Z10750506
abstract (eng) The problem of minimizing convex integral functionals subject to moment-like constraints is treated in a general setting when the underlying convex function may be multivariate, perhaps not strictly convex or differentiable. The results are applied to the minimization of $f$-divergences simultaneously in both variables.
action
ARLID cav_un_auth*0269965
name IEEE Information Theory Workshop on Networking and Information Theory 2009
place Volos
dates 10.06.2009-12.06.2009
country GR
reportyear 2011
RIV BD
permalink http://hdl.handle.net/11104/0195013
arlyear 2009
mrcbU63 cav_un_epca*0356677 Proceedings of the 2009 IEEE Information Theory Workshop on Networking and Information 978-1-4244-4535-6 96 100 Volos IEEE 2009