Accès à distance ? S'identifier sur le proxy UCLouvain
A Riemannian rank-adaptive method for low-rank optimization
Primary tabs
Document type | Article de périodique (Journal article) – Article de recherche |
---|---|
Access type | Accès restreint |
Publication date | 2016 |
Language | Anglais |
Journal information | "Neurocomputing" - Vol. 192, p. 72-80 (2016) |
Peer reviewed | yes |
Publisher | Elsevier BV ((Netherlands) Amsterdam) |
issn | 0925-2312 |
e-issn | 1872-8286 |
Publication status | Publié |
Affiliation | UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique |
Links |
Bibliographic reference | Zhou, Guifang ; Huang, Wen ; Gallivan, Kyle A. ; Van Dooren, Paul ; Absil, Pierre-Antoine. A Riemannian rank-adaptive method for low-rank optimization. In: Neurocomputing, Vol. 192, p. 72-80 (2016) |
---|---|
Permanent URL | http://hdl.handle.net/2078.1/172844 |