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
Improvement of Pose Recognition by Sparse Regularized Convo..:
, In:
2019 IEEE International Conference on Real-time Computing and Robotics (RCAR)
,
Zhang, Yuan
;
Yao, Xiao
;
Wang, Zhongli
... - p. 248-251 , 2019
Link:
https://doi.org/10.1109/RCAR47638.2019.9044112
RT T1 <cTitle>2019 IEEE International Conference on Real-time Computing and Robotics (RCAR)</cTitle>: T1 <Title>Improvement of Pose Recognition by Sparse Regularized Convolutional Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9044112&Exemplar=1&LAN=DE A1 Zhang, Yuan A1 Yao, Xiao A1 Wang, Zhongli A1 Su, Hao A1 Yu, Zihan A1 Huo, Guanying A1 Xu, Ning A1 Liu, Xiaofeng YR 2019 K1 Convergence K1 Convolution K1 Convolutional neural networks K1 Training K1 Feature extraction K1 Biological system modeling K1 Pose estimation SP 248 OP 251 LK http://dx.doi.org/https://doi.org/10.1109/RCAR47638.2019.9044112 DO https://doi.org/10.1109/RCAR47638.2019.9044112 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
