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
Orthogonal Graph-regularized Non-negative Matrix Factorizat..:
, In:
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
,
Tian, Long
;
Du, Qian
;
Kopriva, Ivica
. - p. 795-798 , 2019
Link:
https://doi.org/10.1109/IGARSS.2019.8897876
RT T1 <cTitle>IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Orthogonal Graph-regularized Non-negative Matrix Factorization for Hyperspectral Image Clustering</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8897876&Exemplar=1&LAN=DE A1 Tian, Long A1 Du, Qian A1 Kopriva, Ivica A1 Younan, Nicolas YR 2019 SN 2153-7003 K1 Clustering algorithms K1 Hyperspectral imaging K1 Sparse matrices K1 Computational efficiency K1 Feature extraction K1 Hyperspectral image (HSI) K1 non-negative matrix factorization (ONMF) K1 clustering SP 795 OP 798 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS.2019.8897876 DO https://doi.org/10.1109/IGARSS.2019.8897876 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
