N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2052-4463

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning ; volume:9 ; number:1 ; day:2 ; month:12 ; year:2022 ; pages:1-9 ; date:12.2022
Scientific data ; 9, Heft 1 (2.12.2022), 1-9, 12.2022

Creator: Li, Yang
Dong, Yiting
Zhao, Dongcheng
Zeng, Yi

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41597-022-01851-z

URN: urn:nbn:de:101:1-2023021321221000499831

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:02 AM CEST

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Li, Yang
Dong, Yiting
Zhao, Dongcheng
Zeng, Yi
SpringerLink (Online service)

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N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning

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