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
Memory-Efficient Domain Incremental Learning for Internet o..:
, In:
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
,
Zhao, Yuqing
;
Saxena, Divya
;
Cao, Jiannong
- p. 1175-1181 , 2022
Link:
https://dl.acm.org/doi/10.1145/3560905.3568436
RT T1
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
: T1
Memory-Efficient Domain Incremental Learning for Internet of Things
UL https://suche.suub.uni-bremen.de/peid=acm-3568436&Exemplar=1&LAN=DE A1 Zhao, Yuqing A1 Saxena, Divya A1 Cao, Jiannong PB ACM YR 2022 K1 catastrophic forgetting K1 data-driven pruning K1 domain incremental learning K1 domain shift K1 internet of things K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Embedded systems SP 1175 OP 1181 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3560905.3568436 DO https://dl.acm.org/doi/10.1145/3560905.3568436 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)