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
Facial Point Graphs for Stroke Identification:
, In:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications; Lecture Notes in Computer Science
,
Gomes, Nicolas Barbosa
;
Yoshida, Arissa
;
de Oliveira, Guilherme Camargo
.. - p. 685-699 , 2023
Link:
https://doi.org/10.1007/978-3-031-49018-7_49
RT T1
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications; Lecture Notes in Computer Science
: T1
Facial Point Graphs for Stroke Identification
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-031-49018-7_49&Exemplar=1&LAN=DE A1 Gomes, Nicolas Barbosa A1 Yoshida, Arissa A1 de Oliveira, Guilherme Camargo A1 Roder, Mateus A1 Papa, João Paulo PB Springer Nature Switzerland YR 2023 SP 685 OP 699 LK http://dx.doi.org/https://doi.org/10.1007/978-3-031-49018-7_49 DO https://doi.org/10.1007/978-3-031-49018-7_49 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)