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
POLYCiNN: Multiclass Binary Inference Engine using Convolut..:
, In:
2019 Conference on Design and Architectures for Signal and Image Processing (DASIP)
,
Abdelsalam, Ahmed M.
;
Elsheikh, Ahmed
;
David, Jean-Pierre
. - p. 13-18 , 2019
Link:
https://doi.org/10.1109/DASIP48288.2019.9049176
RT T1
2019 Conference on Design and Architectures for Signal and Image Processing (DASIP)
: T1
POLYCiNN: Multiclass Binary Inference Engine using Convolutional Decision Forests
UL https://suche.suub.uni-bremen.de/peid=ieee-9049176&Exemplar=1&LAN=DE A1 Abdelsalam, Ahmed M. A1 Elsheikh, Ahmed A1 David, Jean-Pierre A1 Langlois, J. M. Pierre YR 2019 SN 2643-6752 K1 Deep Learning K1 Decision Forests K1 Decision Trees K1 Hardware Accelerators K1 FPGAs SP 13 OP 18 LK http://dx.doi.org/https://doi.org/10.1109/DASIP48288.2019.9049176 DO https://doi.org/10.1109/DASIP48288.2019.9049176 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)