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
RL-SSI Model: Adapting a Supervised Learning Approach to a ..:
Lucas Lisboa dos Santos
;
Ingrid Winkler
;
Erick Giovani Sperandio Nascimento
Industrial Electronics. , 2022
Link:
https://doi.org/10.3390/electronics11091471
RT Journal T1
RL-SSI Model: Adapting a Supervised Learning Approach to a Semi-Supervised Approach for Human Action Recognition
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_2079-9292_11_9_1471_&Exemplar=1&LAN=DE A1 Lucas Lisboa dos Santos A1 Ingrid Winkler A1 Erick Giovani Sperandio Nascimento PB Multidisciplinary Digital Publishing Institute YR 2022 K1 deep learning K1 human action recognition K1 data annotation K1 semi-supervised learning K1 action segmentation JF Industrial Electronics LK http://dx.doi.org/https://doi.org/10.3390/electronics11091471 DO https://doi.org/10.3390/electronics11091471 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)