| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0468393 |
| utime |
20240111140931.2 |
| mtime |
20170105235959.9 |
| SCOPUS |
84973343797 |
| WOS |
000388373403023 |
| DOI |
10.1109/ICASSP.2016.7472222 |
| title
(primary) (eng) |
Extension of the semi-algebraic framework for approximate CP decompositions via non-symmetric simultaneous matrix diagonalization |
| specification |
| page_count |
5 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0458486 |
| ISBN |
978-1-4799-9987-3 |
| title
|
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Proocessing |
| page_num |
2971-2975 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2016 |
|
|
| keyword |
CP decomposition |
| keyword |
semi-algebraic framework |
| keyword |
non-symmetric simultaneous matrix diagonalization |
| author
(primary) |
| ARLID |
cav_un_auth*0340399 |
| share |
50 |
| name1 |
Naskovska |
| name2 |
K. |
| country |
DE |
|
| author
|
| ARLID |
cav_un_auth*0340400 |
| share |
20 |
| name1 |
Haardt |
| name2 |
M. |
| country |
DE |
|
| author
|
| ARLID |
cav_un_auth*0101212 |
| full_dept (cz) |
Stochastická informatika |
| full_dept |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department |
SI |
| full_dept |
Department of Stochastic Informatics |
| share |
10 |
| name1 |
Tichavský |
| name2 |
Petr |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0302679 |
| share |
10 |
| name1 |
Chabriel |
| name2 |
G. |
| country |
FR |
|
| author
|
| ARLID |
cav_un_auth*0340402 |
| share |
10 |
| name1 |
Barrere |
| name2 |
J. |
| country |
FR |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0303443 |
| project_id |
GA14-13713S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
With the increased importance of the CP decomposition (CANDECOMP / PARAFAC decomposition), efficient methods for its calculation are necessary. In this paper we present an extension of the SECSI (SEmi-algebraic framework for approximate CP decomposition via SImultaneous matrix diagonalization) that is based on new non-symmetric SMDs (Simultaneous Matrix Diagonalizations).\nMoreover, two different algorithms to calculate non-symmetric SMDs are presented as examples, the TEDIA (TEnsor DIAgonalization) algorithm and the IDIEM-NS (Improved DIagonalization\nusing Equivalent Matrices-Non Symmetric) algorithm. The SECSI-TEDIA framework has an increased computational complexity but often achieves a better performance than the original SECSI framework. On the other hand, the SECSI-IDIEM framework offers a lower computational complexity while sacrificing some performance accuracy. |
| action |
| ARLID |
cav_un_auth*0329851 |
| name |
IEEE International Conference on Acoustics, Speech, and Signal Processing 2016 (ICASSP2016) |
| dates |
20.03.2016-25.03.2016 |
| place |
Shanghai |
| country |
CN |
|
| RIV |
BB |
| reportyear |
2017 |
| num_of_auth |
5 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0269443 |
| confidential |
S |
| mrcbC86 |
n.a. Proceedings Paper Acoustics|Engineering Electrical Electronic |
| arlyear |
2016 |
| mrcbU14 |
84973343797 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000388373403023 WOS |
| mrcbU56 |
161 kB |
| mrcbU63 |
cav_un_epca*0458486 Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Proocessing 978-1-4799-9987-3 2971 2975 Piscataway IEEE 2016 |
|