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
A Simple and Accurate CNN for Iris Recognition:
, In:
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
,
Kawakami, Shokei
;
Kawai, Hiroya
;
Ito, Koichi
... - p. 1566-1571 , 2022
Link:
https://doi.org/10.23919/APSIPAASC55919.2022.9980056
RT T1 <cTitle>2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)</cTitle>: T1 <Title>A Simple and Accurate CNN for Iris Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9980056&Exemplar=1&LAN=DE A1 Kawakami, Shokei A1 Kawai, Hiroya A1 Ito, Koichi A1 Aoki, Takafumi A1 Yasumura, Yoshiko A1 Fujio, Masakazu A1 Kaga, Yosuke A1 Takahashi, Kenta YR 2022 SN 2640-0103 K1 Training K1 Image recognition K1 Image databases K1 Eyelashes K1 Training data K1 Eyelids K1 Information processing SP 1566 OP 1571 LK http://dx.doi.org/https://doi.org/10.23919/APSIPAASC55919.2022.9980056 DO https://doi.org/10.23919/APSIPAASC55919.2022.9980056 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
