Guest editorial: multimedia computing with interpretable machine learning

Download full text files

  • 78597.pdfeng
    (17080KB)

    Postprint. © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Y. Tian, C. Snoek, J. Wang, Z. Liu, Rainer LienhartGND, S. Boll
URN:urn:nbn:de:bvb:384-opus4-785972
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/78597
ISSN:1520-9210OPAC
ISSN:1941-0077OPAC
Parent Title (English):IEEE Transactions on Multimedia
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:2020/08/04
Tag:Media Technology; Signal Processing; Electrical and Electronic Engineering; Computer Science Applications
Volume:22
Issue:7
First Page:1661
Last Page:1666
DOI:https://doi.org/10.1109/tmm.2020.2991292
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Maschinelles Lernen und Maschinelles Sehen
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht