CCA based feature selection with application to continuous depression recognition from acoustic speech features

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Metadaten
Author:Heysem Kaya, Florian Eyben, Albert Ali Salah, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-725480
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/72548
ISBN:9781479928934OPAC
Parent Title (English):2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4-9 May 2014, Florence, Italy
Publisher:IEEE
Place of publication:Piscataway, NJ
Type:Part of a Book
Language:English
Year of first Publication:2014
Publishing Institution:Universität Augsburg
Release Date:2020/06/08
First Page:3729
Last Page:3733
DOI:https://doi.org/10.1109/icassp.2014.6854298
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