I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Facial Expression Based Emotion Recognition Employing YOLOv..:
, In:
2019 International Conference on Machine Learning and Cybernetics (ICMLC)
,
Luh, Guan-Chun
;
Wu, Hung-Bin
;
Yong, Ya-Ting
.. - p. 1-7 , 2019
Link:
https://doi.org/10.1109/ICMLC48188.2019.8949236
RT T1
2019 International Conference on Machine Learning and Cybernetics (ICMLC)
: T1
Facial Expression Based Emotion Recognition Employing YOLOv3 Deep Neural Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-8949236&Exemplar=1&LAN=DE A1 Luh, Guan-Chun A1 Wu, Hung-Bin A1 Yong, Ya-Ting A1 Lai, Yu-Jhio A1 Chen, Yu-Han YR 2019 SN 2160-1348 K1 Emotion recognition K1 Facial expression recognition K1 YOLOv3 K1 Deep neural network K1 JAFFE K1 RaFD K1 CK+ dataset SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ICMLC48188.2019.8949236 DO https://doi.org/10.1109/ICMLC48188.2019.8949236 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)