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
Performance of CNN for different facial expression images w..:
, In:
2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT)
,
Arora, Nitin
;
Yadav, Pooja
;
Tripathi, Kuldeep
. - p. 351-355 , 2023
Link:
https://doi.org/10.1109/DICCT56244.2023.10110137
RT T1 <cTitle>2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT)</cTitle>: T1 <Title>Performance of CNN for different facial expression images with varying input dataset sizes</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10110137&Exemplar=1&LAN=DE A1 Arora, Nitin A1 Yadav, Pooja A1 Tripathi, Kuldeep A1 Sharma, Subhash YR 2023 K1 Performance evaluation K1 Deep learning K1 Computer vision K1 Mood K1 Supervised learning K1 Communications technology K1 Convolutional neural networks K1 CNN K1 feature vector K1 classification K1 facial images K1 computer vision K1 deep learning SP 351 OP 355 LK http://dx.doi.org/https://doi.org/10.1109/DICCT56244.2023.10110137 DO https://doi.org/10.1109/DICCT56244.2023.10110137 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
