Výsledky vyhledávání
- 1.0531483 - ÚTIA 2021 RIV US eng J - Článek v odborném periodiku
Kautský, V. - Tichavský, Petr - Koldovský, Z. - Adali, T.
Performance Bounds for Complex-Valued Independent Vector Analysis.
IEEE Transactions on Signal Processing. Roč. 68, č. 1 (2020), s. 4258-4267. ISSN 1053-587X. E-ISSN 1941-0476
Grant CEP: GA ČR GA17-00902S
Grant ostatní: GA ČR(CZ) GA20-17720S
Institucionální podpora: RVO:67985556
Klíčová slova: Blind source separation * independent component/vector analysis * Cramér-Rao lower bound,
Obor OECD: Electrical and electronic engineering
Impakt faktor: 4.931, rok: 2020
Způsob publikování: Omezený přístup
http://library.utia.cas.cz/separaty/2020/SI/tichavsky-0531483.pdf https://ieeexplore.ieee.org/document/9141450
Trvalý link: http://hdl.handle.net/11104/0310654 - 2.0518308 - ÚTIA 2021 RIV US eng J - Článek v odborném periodiku
Phan, A. H. - Cichocki, A. - Uschmajew, A. - Tichavský, Petr - Luta, G. … celkem 6 autorů
Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation.
IEEE Transactions on Neural Networks and Learning Systems. Roč. 31, č. 11 (2020), s. 4622-4636. ISSN 2162-237X. E-ISSN 2162-2388
Grant CEP: GA ČR GA17-00902S
Institucionální podpora: RVO:67985556
Klíčová slova: Blind source separation * tensor network (TN) * image denoising * nested Tucker * tensor train (TT) decomposition * Tucker-2 (TK2) decomposition * truncated singular value decomposition (SVD)
Obor OECD: Electrical and electronic engineering
Impakt faktor: 10.451, rok: 2020
Způsob publikování: Omezený přístup
http://library.utia.cas.cz/separaty/2020/SI/tichavsky-0518308.pdf https://ieeexplore.ieee.org/document/8984730
Trvalý link: http://hdl.handle.net/11104/0303994 - 3.0509948 - ÚTIA 2020 RIV US eng J - Journal Article
Tichavský, Petr - Phan, A. H. - Cichocki, A.
Sensitivity in tensor decomposition.
IEEE Signal Processing Letters. Roč. 26, č. 11 (2019), s. 1653-1657. ISSN 1070-9908. E-ISSN 1558-2361
R&D Projects: GA ČR GA17-00902S
Institutional support: RVO:67985556
Keywords : PARAFAC * convolutive neural networks * tensor
OECD category: Electrical and electronic engineering
Impact factor: 3.105, year: 2019
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2019/SI/tichavsky-0509948.pdf https://ieeexplore.ieee.org/document/8846103
Permanent Link: http://hdl.handle.net/11104/0301141 - 4.0500107 - ÚTIA 2020 RIV US eng J - Článek v odborném periodiku
Phan, A. H. - Tichavský, Petr - Cichocki, A.
Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound.
IEEE Transactions on Signal Processing. Roč. 67, č. 5 (2019), s. 1175-1190. ISSN 1053-587X. E-ISSN 1941-0476
Grant CEP: GA ČR GA17-00902S
Institucionální podpora: RVO:67985556
Klíčová slova: Canonical polyadic decomposition * parallel factor analysis * tensor decomposition
Obor OECD: Statistics and probability
Impakt faktor: 5.028, rok: 2019
Způsob publikování: Omezený přístup
http://library.utia.cas.cz/separaty/2019/SI/tichavsky-0500107.pdf https://ieeexplore.ieee.org/document/8579207
Trvalý link: http://hdl.handle.net/11104/0293323 - 5.0500102 - ÚTIA 2020 RIV US eng J - Journal Article
Koldovský, Z. - Tichavský, Petr
Gradient Algorithms for Complex Non-Gaussian Independent Component/Vector Extraction, Question of Convergence.
IEEE Transactions on Signal Processing. Roč. 67, č. 4 (2019), s. 1050-1064. ISSN 1053-587X. E-ISSN 1941-0476
R&D Projects: GA ČR GA17-00902S
Institutional support: RVO:67985556
Keywords : Blind source separation * blind source extraction * independent component analysis * independent vector analysis
OECD category: Statistics and probability
Impact factor: 5.028, year: 2019
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2019/SI/tichavsky-0500102.pdf https://ieeexplore.ieee.org/document/8579170
Permanent Link: http://hdl.handle.net/11104/0293321 - 6.0474387 - ÚTIA 2018 RIV NL eng J - Journal Article
Tichavský, Petr - Phan, A. H. - Cichocki, A.
Non-orthogonal tensor diagonalization.
Signal Processing. Roč. 138, č. 1 (2017), s. 313-320. ISSN 0165-1684. E-ISSN 1872-7557
R&D Projects: GA ČR(CZ) GA14-13713S; GA ČR GA17-00902S
Institutional support: RVO:67985556
Keywords : multilinear models * canonical polyadic decomposition * parallel factor analysis
OECD category: Statistics and probability
Impact factor: 3.470, year: 2017
http://library.utia.cas.cz/separaty/2017/SI/tichavsky-0474387.pdf
Permanent Link: http://hdl.handle.net/11104/0271454