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
CrossHAR: Generalizing Cross-dataset Human Activity Recogni..:
Hong, Zhiqing
;
Li, Zelong
;
Zhong, Shuxin
...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 8 (2024) 2 - p. 1-26 , 2024
Link:
https://doi.org/10.1145/3659597
RT Journal T1 <Title>CrossHAR: Generalizing Cross-dataset Human Activity Recognition via Hierarchical Self-Supervised Pretraining</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1145_3659597&Exemplar=1&LAN=DE A1 Hong, Zhiqing A1 Li, Zelong A1 Zhong, Shuxin A1 Lyu, Wenjun A1 Wang, Haotian A1 Ding, Yi A1 He, Tian A1 Zhang, Desheng PB Association for Computing Machinery (ACM) YR 2024 SN 2474-9567 JF Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies VO 8 IS 2 SP 1 OP 26 LK http://dx.doi.org/https://doi.org/10.1145/3659597 DO https://doi.org/10.1145/3659597 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
