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
CNN-RDM: a new image processing model for improving the str..:
Heydaran Daroogheh Amnyieh, Zahra
;
Rastegar Fatemi, Seyed Mohammad Jalal
;
Rastgarpour, Maryam
.
The Journal of Supercomputing. 79 (2022) 4 - p. 4266-4290 , 2022
Link:
https://doi.org/10.1007/s11227-022-04661-7
RT Journal T1
CNN-RDM: a new image processing model for improving the structure of deep learning based on representational dissimilarity matrix
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s11227-022-04661-7&Exemplar=1&LAN=DE A1 Heydaran Daroogheh Amnyieh, Zahra A1 Rastegar Fatemi, Seyed Mohammad Jalal A1 Rastgarpour, Maryam A1 Aghaee Ghazvini, Golnaz PB Springer Science and Business Media LLC YR 2022 SN 0920-8542 SN 1573-0484 JF The Journal of Supercomputing VO 79 IS 4 SP 4266 OP 4290 LK http://dx.doi.org/https://doi.org/10.1007/s11227-022-04661-7 DO https://doi.org/10.1007/s11227-022-04661-7 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)