| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0443717 |
| utime |
20240111140902.1 |
| mtime |
20150526235959.9 |
| SCOPUS |
84946099230 |
| WOS |
000427402902056 |
| DOI |
10.1109/ICASSP.2015.7178355 |
| title
(primary) (eng) |
Low rank tensor deconvolution |
| specification |
| page_count |
5 s. |
| media_type |
C |
|
| 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 |
2169-2173 |
| publisher |
| place |
Piscataway |
| name |
IEEE Computer Society |
| year |
2015 |
|
|
| keyword |
tensor decomposition |
| keyword |
CANDECOMP/PARAFAC |
| keyword |
tensor deconvolution |
| author
(primary) |
| ARLID |
cav_un_auth*0274170 |
| name1 |
Phan |
| name2 |
A. H. |
| country |
JP |
|
| author
|
| ARLID |
cav_un_auth*0101212 |
| name1 |
Tichavský |
| name2 |
Petr |
| institution |
UTIA-B |
| full_dept (cz) |
Stochastická informatika |
| full_dept |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department |
SI |
| full_dept |
Department of Stochastic Informatics |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0272321 |
| name1 |
Cichocki |
| name2 |
A. |
| country |
JP |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0303443 |
| project_id |
GA14-13713S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
In this paper, we propose a low-rank tensor deconvolution problem which seeks multiway replicative patterns and corresponding activating tensors of rank-1. An alternating least squares (ALS) algorithm has been derived for the model to sequentially update loading components and the patterns. In addition, together with a good initialisation method using tensor diagonalization, the update rules have been implemented with a low cost using fast inversion of block Toeplitz matrices as well as an efficient update strategy. Experiments show that the proposed model and the algorithm are promising in feature extraction and clustering. |
| action |
| ARLID |
cav_un_auth*0316577 |
| name |
2015 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2015 |
| dates |
19.04.2015-24.04.2015 |
| place |
Brisbane |
| country |
AU |
|
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2016 |
| num_of_auth |
3 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0246782 |
| cooperation |
| ARLID |
cav_un_auth*0303002 |
| name |
RIKEN |
| country |
JP |
|
| confidential |
S |
| mrcbC83 |
RIV/67985556:_____/15:00443717!RIV16-AV0-67985556 191684107 oprava UT WOS |
| mrcbC83 |
RIV/67985556:_____/15:00443717!RIV16-GA0-67985556 191719243 oprava UT WOS |
| mrcbC86 |
n.a. Proceedings Paper Acoustics|Engineering Electrical Electronic |
| arlyear |
2015 |
| mrcbU14 |
84946099230 SCOPUS |
| mrcbU34 |
000427402902056 WOS |
| mrcbU56 |
277 kB |
| 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 2169 2173 Piscataway IEEE Computer Society 2015 |
|