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
Heterogeneous Transfer Clustering for Partial Co-occurrence..:
, In:
2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)
,
Ye, Xiangyang
;
Yang, Liu
;
Hu, Qinghua
... - p. 1042-1049 , 2019
Link:
https://doi.org/10.1109/ICTAI.2019.00146
RT T1
2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)
: T1
Heterogeneous Transfer Clustering for Partial Co-occurrence Data
UL https://suche.suub.uni-bremen.de/peid=ieee-8995324&Exemplar=1&LAN=DE A1 Ye, Xiangyang A1 Yang, Liu A1 Hu, Qinghua A1 Shen, Chenyang A1 Jing, Liping A1 Du, Zhibin YR 2019 SN 2375-0197 K1 Heterogeneous-transfer-clustering K1 partial-cooccurrence-data K1 approximately-orthogonal-constraint K1 hierarchical-structure SP 1042 OP 1049 LK http://dx.doi.org/https://doi.org/10.1109/ICTAI.2019.00146 DO https://doi.org/10.1109/ICTAI.2019.00146 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)