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
Multi-level Learning for Semi-supervised Multi-view Classif..:
, In:
2023 Eleventh International Conference on Advanced Cloud and Big Data (CBD)
,
Song, Na
;
Yang, Shundong
;
Cai, Zhiling
.. - p. 146-151 , 2023
Link:
https://doi.org/10.1109/CBD63341.2023.00034
RT T1
2023 Eleventh International Conference on Advanced Cloud and Big Data (CBD)
: T1
Multi-level Learning for Semi-supervised Multi-view Classification
UL https://suche.suub.uni-bremen.de/peid=ieee-10516519&Exemplar=1&LAN=DE A1 Song, Na A1 Yang, Shundong A1 Cai, Zhiling A1 Lin, Jian A1 Huang, Sujia YR 2023 K1 Big Data K1 Feature extraction K1 Data models K1 semi-supervised classification K1 graph representation learning K1 multi-view fusion K1 multi-level representation SP 146 OP 151 LK http://dx.doi.org/https://doi.org/10.1109/CBD63341.2023.00034 DO https://doi.org/10.1109/CBD63341.2023.00034 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)