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
Fast Stochastic Block Partitioning via Sampling:
, In:
2019 IEEE High Performance Extreme Computing Conference (HPEC)
,
Wanye, Frank
;
Gleyzer, Vitaliy
;
Feng, Wu-chun
- p. 1-7 , 2019
Link:
https://doi.org/10.1109/HPEC.2019.8916542
RT T1
2019 IEEE High Performance Extreme Computing Conference (HPEC)
: T1
Fast Stochastic Block Partitioning via Sampling
UL https://suche.suub.uni-bremen.de/peid=ieee-8916542&Exemplar=1&LAN=DE A1 Wanye, Frank A1 Gleyzer, Vitaliy A1 Feng, Wu-chun YR 2019 SN 2643-1971 K1 Partitioning algorithms K1 Stochastic processes K1 Runtime K1 Proposals K1 Clustering algorithms K1 Measurement K1 Image edge detection K1 community detection K1 GraphChallenge K1 sampling K1 stochastic block partitioning SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/HPEC.2019.8916542 DO https://doi.org/10.1109/HPEC.2019.8916542 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)