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
A Face Sequence Recognition Method Based on Deep Convolutio..:
, In:
2019 18th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)
,
Ma, Siwei
;
Cao, Meng
;
Li, Jiadong
... - p. 104-107 , 2019
Link:
https://doi.org/10.1109/DCABES48411.2019.00033
RT T1
2019 18th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)
: T1
A Face Sequence Recognition Method Based on Deep Convolutional Neural Network
UL https://suche.suub.uni-bremen.de/peid=ieee-8921285&Exemplar=1&LAN=DE A1 Ma, Siwei A1 Cao, Meng A1 Li, Jiadong A1 Zhu, Quanyin A1 Li, Xiang A1 Shen, Yi A1 Wang, Mengdi YR 2019 SN 2473-3636 K1 Convolution K1 Face recognition K1 Training K1 Emotion recognition K1 Feature extraction K1 Kernel K1 Face K1 facial emotion recognition K1 video sequence K1 deep convolutional neural network K1 student status prediction K1 real time monitoring SP 104 OP 107 LK http://dx.doi.org/https://doi.org/10.1109/DCABES48411.2019.00033 DO https://doi.org/10.1109/DCABES48411.2019.00033 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)