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
A hyper-spectral Data Unsupervised Classification Method Co..:
, In:
Proceedings of the 2023 9th International Conference on Communication and Information Processing
,
Li, Wenchao
;
Liu, Sheng
;
Ding, Hao
... - p. 153-157 , 2023
Link:
https://dl.acm.org/doi/10.1145/3638884.3638907
RT T1
Proceedings of the 2023 9th International Conference on Communication and Information Processing
: T1
A hyper-spectral Data Unsupervised Classification Method Combining Linear Projection and Gaussian Mixture Model
UL https://suche.suub.uni-bremen.de/peid=acm-3638907&Exemplar=1&LAN=DE A1 Li, Wenchao A1 Liu, Sheng A1 Ding, Hao A1 He, Liang A1 Chen, Zhenhua A1 Li, Qingliang A1 Xue, Kaichuang PB ACM YR 2023 K1 Dimensionality reduction K1 Expectation-Maximization algorithm K1 Gaussian Mixture Model K1 Principal Component Analysis K1 Unsupervised Classification SP 153 OP 157 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3638884.3638907 DO https://dl.acm.org/doi/10.1145/3638884.3638907 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)