| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0443931 |
| utime |
20240103210046.3 |
| mtime |
20150609235959.9 |
| SCOPUS |
84946039806 |
| WOS |
000427402903064 |
| DOI |
10.1109/ICASSP.2015.7178563 |
| title
(primary) (eng) |
Diffusion filtration with approximate Bayesian computation |
| specification |
| page_count |
5 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0444627 |
| ISBN |
978-1-4673-6997-8 |
| ISSN |
1520-6149 |
| title
|
Proceedings of 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) |
| page_num |
3207-3211 |
| publisher |
| place |
Piscataway |
| name |
IEEE Computer Society |
| year |
2015 |
|
|
| keyword |
Bayesian filtration |
| keyword |
diffusion |
| keyword |
distributed filtration |
| author
(primary) |
| ARLID |
cav_un_auth*0242543 |
| name1 |
Dedecius |
| name2 |
Kamil |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0306051 |
| name1 |
Djurić |
| name2 |
P. M. |
| country |
US |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0303543 |
| project_id |
GP14-06678P |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
Distributed filtration of state-space models with sensor networks assumes knowledge of a model of the data-generating process. However, this assumption is often violated in practice, as the conditions vary from node to node and are usually only partially known. In addition, the model may generally be too complicated, computationally demanding or even completely intractable. In this contribution, we propose a distributed filtration framework based on the novel approximate Bayesian computation (ABC) methods, which is able to overcome these issues. In particular, we focus on filtration in diffusion networks, where neighboring nodes share their observations and posterior distributions. |
| action |
| ARLID |
cav_un_auth*0316738 |
| name |
2015 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015) |
| dates |
19.05.2015-24.05.2015 |
| place |
Brisbane |
| country |
AU |
|
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2016 |
| num_of_auth |
2 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0247110 |
| mrcbC62 |
1 |
| confidential |
S |
| mrcbC83 |
RIV/67985556:_____/15:00443931!RIV16-AV0-67985556 191684179 Doplnění UT WOS |
| mrcbC83 |
RIV/67985556:_____/15:00443931!RIV16-GA0-67985556 191719270 Doplnění UT WOS |
| mrcbC86 |
n.a. Proceedings Paper Acoustics|Engineering Electrical Electronic |
| arlyear |
2015 |
| mrcbU14 |
84946039806 SCOPUS |
| mrcbU34 |
000427402903064 WOS |
| mrcbU63 |
cav_un_epca*0444627 Proceedings of 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 978-1-4673-6997-8 1520-6149 3207 3211 Piscataway IEEE Computer Society 2015 |
|