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
Residual Based Sampling for Online Low Rank Approximation:
, In:
2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS)
,
Bhaskara, Aditya
;
Lattanzi, Silvio
;
Vassilvitskii, Sergei
. - p. 1596-1614 , 2019
Link:
https://doi.org/10.1109/FOCS.2019.00094
RT T1
2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS)
: T1
Residual Based Sampling for Online Low Rank Approximation
UL https://suche.suub.uni-bremen.de/peid=ieee-8948596&Exemplar=1&LAN=DE A1 Bhaskara, Aditya A1 Lattanzi, Silvio A1 Vassilvitskii, Sergei A1 Zadimoghaddam, Morteza YR 2019 SN 2575-8454 K1 Principal component analysis K1 Approximation algorithms K1 Dimensionality reduction K1 Clustering algorithms K1 Additives K1 Google K1 Data analysis K1 low rank approximation K1 online algorithms K1 column subset selection SP 1596 OP 1614 LK http://dx.doi.org/https://doi.org/10.1109/FOCS.2019.00094 DO https://doi.org/10.1109/FOCS.2019.00094 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)