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 preliminary Study on Seasonal features Understanding from..:
, In:
2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)
,
Tateyama, Tomoko
;
Miyamoto, Takumi
;
Orimoto, Ken
. - p. 668-673 , 2021
Link:
https://doi.org/10.1109/IIAI-AAI53430.2021.00119
RT T1 <cTitle>2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)</cTitle>: T1 <Title>A preliminary Study on Seasonal features Understanding from Flyer Images Based on Machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9791013&Exemplar=1&LAN=DE A1 Tateyama, Tomoko A1 Miyamoto, Takumi A1 Orimoto, Ken A1 Matsumoto, Shimpei YR 2021 SN 2770-8470 K1 Histograms K1 Image databases K1 Image color analysis K1 Focusing K1 Training data K1 Machine learning K1 Advertising K1 Flyer image analysis K1 Event keyword assign K1 Seasonal categolization K1 machine Learning SP 668 OP 673 LK http://dx.doi.org/https://doi.org/10.1109/IIAI-AAI53430.2021.00119 DO https://doi.org/10.1109/IIAI-AAI53430.2021.00119 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
