| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0448117 |
| utime |
20240111140908.0 |
| mtime |
20151119235959.9 |
| SCOPUS |
84957604223 |
| WOS |
000380403500025 |
| DOI |
10.1109/IDAACS.2015.7340715 |
| title
(primary) (eng) |
Recursive Estimation of Mixtures of Exponential and Normal Distributions |
| specification |
| page_count |
6 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0448116 |
| ISBN |
978-1-4673-8361-5 |
| title
|
Proceedings of the 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) |
| page_num |
137-142 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2015 |
|
|
| keyword |
recursive mixture estimation |
| keyword |
mixture of different distributions |
| keyword |
dynamic switching model |
| keyword |
exponential distribution |
| author
(primary) |
| ARLID |
cav_un_auth*0108105 |
| 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 |
Suzdaleva |
| name2 |
Evgenia |
| institution |
UTIA-B |
| 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. |
|
| author
|
| ARLID |
cav_un_auth*0274528 |
| full_dept (cz) |
Zpracování signálů |
| full_dept |
Department of Signal Processing |
| department (cz) |
ZS |
| department |
ZS |
| name1 |
Mlynářová |
| name2 |
Tereza |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0308433 |
| project_id |
7H14005 |
| agency |
GA MŠk |
| country |
BE |
|
| project |
| ARLID |
cav_un_auth*0306850 |
| project_id |
7H14004 |
| agency |
GA MŠk |
|
| project |
| ARLID |
cav_un_auth*0321440 |
| project_id |
GA15-03564S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
The paper deals with estimation of a mixture of normal and exponential distributions with the dynamic model of their switching. A separate estimation of normal or exponential mixtures is solved by various approaches in many papers over the world. However, in some application areas, data are of such a nature that they should be described by a combination of exponential and normal models. The paper proposes a recursive Bayesian algorithm of estimation of such a mixture based on continuously measured data. Specific tasks the paper solves are: (i) parameter estimation of both the types of components; (ii) parameter estimation of the dynamic switching model and (iii) detection of the currently active component. Results of experiments with real data are demonstrated. |
| action |
| ARLID |
cav_un_auth*0320279 |
| name |
International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications /8./ (IDAACS'2015) |
| dates |
24.09.2015-26.09.2015 |
| place |
Warsaw |
| country |
PL |
|
| RIV |
BB |
| reportyear |
2016 |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0250068 |
| confidential |
S |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Theory Methods|Engineering Electrical Electronic |
| arlyear |
2015 |
| mrcbU14 |
84957604223 SCOPUS |
| mrcbU34 |
000380403500025 WOS |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0448116 Proceedings of the 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) 978-1-4673-8361-5 137 142 Piscataway IEEE 2015 |
|