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
Video Anomaly Detection Using Open Data Filter and Domain A..:
, In:
2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)
,
Zhang, Chen
;
Li, Guorong
;
Su, Li
.. - p. 395-398 , 2020
Link:
https://doi.org/10.1109/VCIP49819.2020.9301783
RT T1 <cTitle>2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)</cTitle>: T1 <Title>Video Anomaly Detection Using Open Data Filter and Domain Adaptation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9301783&Exemplar=1&LAN=DE A1 Zhang, Chen A1 Li, Guorong A1 Su, Li A1 Zhang, Weigang A1 Huang, Qingming YR 2020 SN 2642-9357 K1 Training K1 Training data K1 Anomaly detection K1 Feature extraction K1 Data models K1 Testing K1 Adaptation models K1 anomaly detection K1 imbalanced classifier K1 open data K1 domain adaptation SP 395 OP 398 LK http://dx.doi.org/https://doi.org/10.1109/VCIP49819.2020.9301783 DO https://doi.org/10.1109/VCIP49819.2020.9301783 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
