Information fusion based on kernel entropy component analysis in discriminative canonical correlation space with application to audio emotion recognition.
Bitte melden Sie sich an um selbst Rezensionen oder Kommentare zu erstellen.
Zitieren Sie diese Publikation
Mehr Zitationsstile
- bitte auswählen -
%0 Conference Paper
%1 conf/icassp/GaoQG16
%A Gao, Lei
%A Qi, Lin
%A Guan, Ling
%B ICASSP
%D 2016
%I IEEE
%K dblp
%P 2817-2821
%T Information fusion based on kernel entropy component analysis in discriminative canonical correlation space with application to audio emotion recognition.
%U http://dblp.uni-trier.de/db/conf/icassp/icassp2016.html#GaoQG16
%@ 978-1-4799-9988-0
@inproceedings{conf/icassp/GaoQG16,
added-at = {2018-02-20T00:00:00.000+0100},
author = {Gao, Lei and Qi, Lin and Guan, Ling},
biburl = {https://www.bibsonomy.org/bibtex/2081d92a48d83b57687137e5890807deb/dblp},
booktitle = {ICASSP},
crossref = {conf/icassp/2016},
ee = {https://doi.org/10.1109/ICASSP.2016.7472191},
interhash = {33c7c0131fa8bcccf8e75740c2759acb},
intrahash = {081d92a48d83b57687137e5890807deb},
isbn = {978-1-4799-9988-0},
keywords = {dblp},
pages = {2817-2821},
publisher = {IEEE},
timestamp = {2019-10-17T17:36:14.000+0200},
title = {Information fusion based on kernel entropy component analysis in discriminative canonical correlation space with application to audio emotion recognition.},
url = {http://dblp.uni-trier.de/db/conf/icassp/icassp2016.html#GaoQG16},
year = 2016
}
