0518308 - ÚTIA 2021 RIV US eng J - Journal Article
Phan, A. H. - Cichocki, A. - Uschmajew, A. - Tichavský, Petr - Luta, G. … Total 6 authors
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
R&D Projects: GA ČR GA17-00902S
Institutional support: RVO:67985556
Keywords : Blind source separation * tensor network (TN) * image denoising * nested Tucker * tensor train (TT) decomposition * Tucker-2 (TK2) decomposition * truncated singular value decomposition (SVD)
OECD category: Electrical and electronic engineering
Impact factor: 10.451, year: 2020 ; AIS: 2.949, rok: 2020
Method of publishing: Limited access
Result website:
http://library.utia.cas.cz/separaty/2020/SI/tichavsky-0518308.pdf https://ieeexplore.ieee.org/document/8984730
DOI: https://doi.org/10.1109/TNNLS.2019.2956926
Permanent Link: http://hdl.handle.net/11104/0303994
Phan, A. H. - Cichocki, A. - Uschmajew, A. - Tichavský, Petr - Luta, G. … Total 6 authors
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
R&D Projects: GA ČR GA17-00902S
Institutional support: RVO:67985556
Keywords : Blind source separation * tensor network (TN) * image denoising * nested Tucker * tensor train (TT) decomposition * Tucker-2 (TK2) decomposition * truncated singular value decomposition (SVD)
OECD category: Electrical and electronic engineering
Impact factor: 10.451, year: 2020 ; AIS: 2.949, rok: 2020
Method of publishing: Limited access
Result website:
http://library.utia.cas.cz/separaty/2020/SI/tichavsky-0518308.pdf https://ieeexplore.ieee.org/document/8984730
DOI: https://doi.org/10.1109/TNNLS.2019.2956926
Permanent Link: http://hdl.handle.net/11104/0303994