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
Convolution Padding in Recurrent Neural Networks for Image ..:
, In:
2021 55th Asilomar Conference on Signals, Systems, and Computers
,
Ho, Alex
;
Alvarez, Jacqueline
;
Marcia, Roummel F.
- p. 1699-1703 , 2021
Link:
https://doi.org/10.1109/IEEECONF53345.2021.9723313
RT T1
2021 55th Asilomar Conference on Signals, Systems, and Computers
: T1
Convolution Padding in Recurrent Neural Networks for Image Denoising with Limited Data
UL https://suche.suub.uni-bremen.de/peid=ieee-9723313&Exemplar=1&LAN=DE A1 Ho, Alex A1 Alvarez, Jacqueline A1 Marcia, Roummel F. YR 2021 SN 2576-2303 K1 Recurrent neural networks K1 Target tracking K1 Image edge detection K1 Speech recognition K1 Reflection K1 Image restoration K1 Noise measurement K1 Image denoising K1 recurrent neural networks K1 convolutional padding K1 limited data SP 1699 OP 1703 LK http://dx.doi.org/https://doi.org/10.1109/IEEECONF53345.2021.9723313 DO https://doi.org/10.1109/IEEECONF53345.2021.9723313 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)