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
Feature Fusion: Graph Attention Network and CNN Combing for..:
, In:
2022 The 5th International Conference on Control and Computer Vision
,
Qikun, Pan
;
Xiaoxi, Xu
;
Qi, Chang
.. - p. 171-178 , 2022
Link:
https://dl.acm.org/doi/10.1145/3561613.3561640
RT T1
2022 The 5th International Conference on Control and Computer Vision
: T1
Feature Fusion: Graph Attention Network and CNN Combing for Hyperspectral Image Classification
UL https://suche.suub.uni-bremen.de/peid=acm-3561640&Exemplar=1&LAN=DE A1 Qikun, Pan A1 Xiaoxi, Xu A1 Qi, Chang A1 Chundi, Pan A1 Guo, Cao PB ACM YR 2022 K1 Convolutional Neural Network K1 Graph Attention Network K1 Hyperspectral image classification K1 feature fusion K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Semi-supervised learning SP 171 OP 178 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3561613.3561640 DO https://dl.acm.org/doi/10.1145/3561613.3561640 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)