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
Machine Part Recognition Based on Gabor-CNN:
, In:
2022 International Conference on Image Processing and Computer Vision (IPCV)
,
Wang, Fang
;
Gao, Yongqiang
;
Cao, Tianyi
. - p. 28-32 , 2023
Link:
https://doi.org/10.1109/IPCV57033.2023.00012
RT T1
2022 International Conference on Image Processing and Computer Vision (IPCV)
: T1
Machine Part Recognition Based on Gabor-CNN
UL https://suche.suub.uni-bremen.de/peid=ieee-10405692&Exemplar=1&LAN=DE A1 Wang, Fang A1 Gao, Yongqiang A1 Cao, Tianyi A1 Zhang, Chenyun YR 2023 K1 Wavelet transforms K1 Image recognition K1 Image coding K1 Image representation K1 Feature extraction K1 Robustness K1 Convolutional neural networks K1 convolutional neural network K1 Gabor wavelet transform K1 recognition SP 28 OP 32 LK http://dx.doi.org/https://doi.org/10.1109/IPCV57033.2023.00012 DO https://doi.org/10.1109/IPCV57033.2023.00012 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)