| bibtype |
M -
Monography Chapter
|
| ARLID |
0491347 |
| utime |
20240103220248.2 |
| mtime |
20180724235959.9 |
| SCOPUS |
85049369508 |
| DOI |
10.1007/978-3-319-78931-6_3 |
| title
(primary) (eng) |
Mixture Initialization Based on Prior Data Visual Analysis |
| specification |
| book_pages |
193 |
| page_count |
21 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0491346 |
| ISBN |
978-3-319-78930-9 |
| title
|
Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications |
| page_num |
29-49 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2019 |
|
| editor |
|
| editor |
|
|
| keyword |
mixture initialisation |
| keyword |
mixture estimation |
| keyword |
prior data analysis |
| author
(primary) |
| ARLID |
cav_un_auth*0108105 |
| name1 |
Suzdaleva |
| name2 |
Evgenia |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování signálů |
| full_dept (eng) |
Department of Signal Processing |
| department (cz) |
ZS |
| department (eng) |
ZS |
| full_dept |
Department of Signal Processing |
| country |
RU |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101167 |
| name1 |
Nagy |
| name2 |
Ivan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování signálů |
| full_dept |
Department of Signal Processing |
| department (cz) |
ZS |
| department |
ZS |
| full_dept |
Department of Signal Processing |
| 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) |
The initialization is known to be a critical task for running a mixture estimation algorithm. A majority of approaches existing in the literature are related to initialization of the expectation-maximization algorithm widely used in this area. This study focuses on the initialization of the recursive mixture estimation for the case of normal components, where the mentioned methods are not applicable. Its key part is a choice of the initial statistics of normal components. |
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2020 |
| num_of_auth |
2 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0285513 |
| confidential |
S |
| arlyear |
2019 |
| mrcbU14 |
85049369508 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0491346 Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications Springer 2019 Cham 29 49 978-3-319-78930-9 Studies in Computational Intelligence 757 |
| mrcbU67 |
340 Hadjiski M. |
| mrcbU67 |
340 Atanassov K. |
|