| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0462356 |
| utime |
20240111140923.8 |
| mtime |
20160908235959.9 |
| SCOPUS |
85006046054 |
| WOS |
000391554300044 |
| DOI |
10.1109/IS.2016.7737439 |
| title
(primary) (eng) |
Expert-based Initialization of Recursive Mixture Estimation |
| specification |
| page_count |
8 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0462335 |
| ISBN |
978-1-5090-1353-1 |
| title
|
Proceedings of 2016 IEEE 8th International Conference on Intelligent Systems |
| page_num |
308-315 |
| publisher |
| place |
Sofia |
| name |
IEEE |
| year |
2016 |
|
|
| keyword |
mixture initialization |
| keyword |
recursive estimation |
| keyword |
component centers |
| 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 |
| 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. |
|
| 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*0321440 |
| project_id |
GA15-03564S |
| agency |
GA ČR |
|
| abstract
(eng) |
Initialization is an extremely important part of the mixture estimation process. There exists a series of initialization approaches in the literature concerning the mixture initialization. However, the majority of them is directed at initialization of the expectation-maximization algorithm widely used in this area. This paper focuses on the initialization of the mixture estimation with normal components based on the recursive statistics update of involved distributions, where the mentioned methods are not suitable. Its key part is the choice of the initial statistics. The paper describes several relatively simple initialization techniques primarily based on processing the prior data. The experimental part of the paper represents results of validation on real data. |
| action |
| ARLID |
cav_un_auth*0333078 |
| name |
2016 IEEE 8th International Conference on Intelligent Systems IS'2016 |
| dates |
04.09.2016-06.09.2016 |
| place |
Sofia |
| country |
BG |
|
| RIV |
BB |
| reportyear |
2017 |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0262263 |
| confidential |
S |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Hardware Architecture |
| arlyear |
2016 |
| mrcbU14 |
85006046054 SCOPUS |
| mrcbU34 |
000391554300044 WOS |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0462335 Proceedings of 2016 IEEE 8th International Conference on Intelligent Systems 978-1-5090-1353-1 308-315 308 315 Sofia IEEE 2016 |
|