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
D-Tucker: Fast and Memory-Efficient Tucker Decomposition fo..:
, In:
2020 IEEE 36th International Conference on Data Engineering (ICDE)
,
Jang, Jun-Gi
;
Kang, U
- p. 1850-1853 , 2020
Link:
https://doi.org/10.1109/ICDE48307.2020.00186
RT T1
2020 IEEE 36th International Conference on Data Engineering (ICDE)
: T1
D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors
UL https://suche.suub.uni-bremen.de/peid=ieee-9101753&Exemplar=1&LAN=DE A1 Jang, Jun-Gi A1 Kang, U YR 2020 SN 2375-026X K1 Tensile stress K1 Matrix decomposition K1 Sparse matrices K1 Memory management K1 Computational efficiency K1 Indexes K1 Approximation algorithms K1 dense tensor K1 tucker decomposition K1 efficiency SP 1850 OP 1853 LK http://dx.doi.org/https://doi.org/10.1109/ICDE48307.2020.00186 DO https://doi.org/10.1109/ICDE48307.2020.00186 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)