Tensor networks for latent variable analysis: novel algorithms for tensor train approximation
| Author: | Anh-Huy Phan, Andrzej Cichocki, André UschmajewGND, Petr Tichavsky, George Luta, Danilo P. Mandic |
|---|---|
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/103119 |
| ISSN: | 2162-237XOPAC |
| ISSN: | 2162-2388OPAC |
| Parent Title (English): | IEEE Transactions on Neural Networks and Learning Systems |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Place of publication: | New York, NY |
| Type: | Article |
| Language: | English |
| Year of first Publication: | 2020 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2023/03/23 |
| Tag: | Artificial Intelligence; Computer Networks and Communications; Computer Science Applications; Software |
| Volume: | 31 |
| Issue: | 11 |
| First Page: | 4622 |
| Last Page: | 4636 |
| DOI: | https://doi.org/10.1109/tnnls.2019.2956926 |
| Institutes: | Mathematisch-Naturwissenschaftlich-Technische Fakultät |
| Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik | |
| Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik / Lehrstuhl für Mathematical Data Science | |
| Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik |
