bibtype V - Research Report
ARLID 0462164
utime 20240111140923.5
mtime 20160905235959.9
title (primary) (eng) Comparison of mixture-based classification with the data-dependent pointer model for various types of components
publisher
place Praha
name ÚTIA AV ČR
pub_time 2016
specification
page_count 59 s.
media_type E
edition
name Research Report
volume_id 2355
keyword mixture-based classification
keyword data-dependent pointer
keyword recurisive mixture estimation
author (primary)
ARLID cav_un_auth*0330517
full_dept (cz) Zpracování signálů
full_dept (eng) Department of Signal Processing
department (cz) ZS
department (eng) ZS
full_dept Department of Signal Processing
name1 Likhonina
name2 Raissa
institution UTIA-B
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0108105
full_dept (cz) Zpracování signálů
full_dept Department of Signal Processing
department (cz) ZS
department ZS
full_dept Department of Signal Processing
name1 Suzdaleva
name2 Evgenia
institution UTIA-B
country RU
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101167
full_dept (cz) Zpracování signálů
full_dept Department of Signal Processing
department (cz) ZS
department ZS
full_dept Department of Signal Processing
name1 Nagy
name2 Ivan
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/2016/ZS/suzdaleva-0462164.pdf
cas_special
project
ARLID cav_un_auth*0321440
project_id GA15-03564S
agency GA ČR
abstract (eng) The presented report is devoted to the analysis of a data-dependent pointer model, whether it brings some advantages in comparison with a data-independent pointer model at simulation and estimation of components referring to different types of distribution, including categorical, uniform, exponential and state-space components for a dynamic data-dependent model, and normal components for a static data-dependent pointer model.
RIV BB
reportyear 2017
num_of_auth 3
mrcbC52 4 O 4o 20231122141834.1
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0262264
confidential S
arlyear 2016
mrcbTft \nSoubory v repozitáři: 0462164.pdf
mrcbU10 2016
mrcbU10 Praha ÚTIA AV ČR
mrcbU56 pdf