- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Stretched non-negative matrix factorization ; volume:10 ; number:1 ; day:27 ; month:8 ; year:2024 ; pages:1-15 ; date:12.2024
npj computational materials ; 10, Heft 1 (27.8.2024), 1-15, 12.2024
- Urheber
-
Gu, Ran
Rakita, Yevgeny
Lan, Ling
Thatcher, Zach
Kamm, Gabrielle E.
O’Nolan, Daniel
Mcbride, Brennan
Wustrow, Allison
Neilson, James R.
Chapman, Karena W.
Du, Qiang
Billinge, Simon J.L.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41524-024-01377-5
- URN
-
urn:nbn:de:101:1-2411130721407.189934001794
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:38 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Gu, Ran
- Rakita, Yevgeny
- Lan, Ling
- Thatcher, Zach
- Kamm, Gabrielle E.
- O’Nolan, Daniel
- Mcbride, Brennan
- Wustrow, Allison
- Neilson, James R.
- Chapman, Karena W.
- Du, Qiang
- Billinge, Simon J.L.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Scalable non-negative matrix tri-factorization
Multi-constraint non-negative matrix factorization for community detection: orthogonal regular sparse constraint non-negative matrix factorization
Optimization and expansion of non-negative matrix factorization
Non-negative matrix factorization for dynamic positron emission tomography
Non-negative matrix factorization techniques : advances in theory and applications
A Survey on Surrogate Approaches to Non-negative Matrix Factorization
Peak picking NMR spectral data using non-negative matrix factorization
Peak picking NMR spectral data using non-negative matrix factorization
Non-negative matrix factorization by maximizing correntropy for cancer clustering
Blind source separation with optimal transport non-negative matrix factorization
Robust semi-supervised non-negative matrix factorization for binary subspace learning
Hierarchical non-negative matrix factorization using clinical information for microbial communities
Scalable non-negative matrix tri-factorization
Multi-constraint non-negative matrix factorization for community detection: orthogonal regular sparse constraint non-negative matrix factorization
Optimization and expansion of non-negative matrix factorization
Non-negative matrix factorization for dynamic positron emission tomography
Non-negative matrix factorization techniques : advances in theory and applications
A Survey on Surrogate Approaches to Non-negative Matrix Factorization
Peak picking NMR spectral data using non-negative matrix factorization
Peak picking NMR spectral data using non-negative matrix factorization
Non-negative matrix factorization by maximizing correntropy for cancer clustering
Blind source separation with optimal transport non-negative matrix factorization
Robust semi-supervised non-negative matrix factorization for binary subspace learning
Hierarchical non-negative matrix factorization using clinical information for microbial communities
Scalable non-negative matrix tri-factorization
Multi-constraint non-negative matrix factorization for community detection: orthogonal regular sparse constraint non-negative matrix factorization
Optimization and expansion of non-negative matrix factorization
Non-negative matrix factorization for dynamic positron emission tomography
Non-negative matrix factorization techniques : advances in theory and applications
A Survey on Surrogate Approaches to Non-negative Matrix Factorization
Peak picking NMR spectral data using non-negative matrix factorization
Peak picking NMR spectral data using non-negative matrix factorization
Non-negative matrix factorization by maximizing correntropy for cancer clustering
Blind source separation with optimal transport non-negative matrix factorization
Robust semi-supervised non-negative matrix factorization for binary subspace learning