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Compact bilinear deep features for environmental sound recognition

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    Postprint. © 2018 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.

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Metadaten
Author:Fatih Demir, Abdulkadir Sengur, Hao Lu, Shahin AmiriparianORCiDGND, Nicholas CumminsORCiDGND, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-450438
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/45043
Parent Title (English):2018 International Conference on Artificial Intelligence and Data Mining (IDAP 2018), Malatya, Turkey, 28-30 September 2018
Publisher:IEEE
Place of publication:Piscataway, NJ
Type:Conference Proceeding
Language:English
Date of Publication (online):2018/12/11
Year of first Publication:2018
Publishing Institution:Universität Augsburg
Release Date:2018/12/12
First Page:1013
Last Page:1017
DOI:https://doi.org/10.1109/IDAP.2018.8620779
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
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

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