Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2041-1723
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search ; volume:13 ; number:1 ; day:21 ; month:10 ; year:2022 ; pages:1-13 ; date:12.2022
Nature Communications ; 13, Heft 1 (21.10.2022), 1-13, 12.2022
- Urheber
-
Mao, Ruibin
Wen, Bo
Kazemi, Arman
Zhao, Yahui
Laguna, Ann Franchesca
Lin, Rui
Wong, Ngai
Niemier, Michael
Hu, Xiaobo
Sheng, Xia
Graves, Catherine E.
Strachan, John Paul
Li, Can
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-022-33629-7
- URN
-
urn:nbn:de:101:1-2023010709045822881560
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:35 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
- Mao, Ruibin
- Wen, Bo
- Kazemi, Arman
- Zhao, Yahui
- Laguna, Ann Franchesca
- Lin, Rui
- Wong, Ngai
- Niemier, Michael
- Hu, Xiaobo
- Sheng, Xia
- Graves, Catherine E.
- Strachan, John Paul
- Li, Can
- SpringerLink (Online service)
Ähnliche Objekte (12)
Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search
Central similarity consistency hashing for asymmetric image retrieval
FRASHER – a framework for automated evaluation of similarity hashing
FRASH: a framework to test algorithms of similarity hashing
Unsupervised Hebbian learning experimentally realized with analogue memristive crossbar arrays
Measuring Preferences for Competition with Experimentally-Validated Survey Questions
Measuring preferences for competition with experimentally-validated survey questions
Discrete matrix factorization cross-modal hashing with multi-similarity consistency
mvHash-B - a new approach for similarity preserving hashing
Machine Learning‐Based and Experimentally Validated Optimal Adhesive Fibril Designs
Fast distributed video deduplication via locality-sensitive hashing with similarity ranking
Experimentally-validated survey evidence on individual risk attitudes in rural Thailand
Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search
Central similarity consistency hashing for asymmetric image retrieval
FRASHER – a framework for automated evaluation of similarity hashing
FRASH: a framework to test algorithms of similarity hashing
Unsupervised Hebbian learning experimentally realized with analogue memristive crossbar arrays
Measuring Preferences for Competition with Experimentally-Validated Survey Questions
Measuring preferences for competition with experimentally-validated survey questions
Discrete matrix factorization cross-modal hashing with multi-similarity consistency
mvHash-B - a new approach for similarity preserving hashing
Machine Learning‐Based and Experimentally Validated Optimal Adhesive Fibril Designs
Fast distributed video deduplication via locality-sensitive hashing with similarity ranking
Experimentally-validated survey evidence on individual risk attitudes in rural Thailand
Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search
Central similarity consistency hashing for asymmetric image retrieval
FRASHER – a framework for automated evaluation of similarity hashing
FRASH: a framework to test algorithms of similarity hashing
Unsupervised Hebbian learning experimentally realized with analogue memristive crossbar arrays
Measuring Preferences for Competition with Experimentally-Validated Survey Questions
Measuring preferences for competition with experimentally-validated survey questions
Discrete matrix factorization cross-modal hashing with multi-similarity consistency
mvHash-B - a new approach for similarity preserving hashing
Machine Learning‐Based and Experimentally Validated Optimal Adhesive Fibril Designs
Fast distributed video deduplication via locality-sensitive hashing with similarity ranking