A generic human–machine annotation framework based on dynamic cooperative learning

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Metadaten
Author:Yue Zhang, Andrea Michi, Johannes Wagner, Elisabeth AndréORCiDGND, Björn SchullerORCiDGND, Felix Weninger
URN:urn:nbn:de:bvb:384-opus4-710138
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/71013
ISSN:2168-2267OPAC
ISSN:2168-2275OPAC
Parent Title (English):IEEE Transactions on Cybernetics
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:2020/02/20
Tag:Control and Systems Engineering; Human-Computer Interaction; Electrical and Electronic Engineering; Software; Information Systems; Computer Science Applications
Volume:50
Issue:3
First Page:1230
Last Page:1239
DOI:https://doi.org/10.1109/tcyb.2019.2901499
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Multimodale Mensch-Technik Interaktion (Human Centered Multimedia)
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht