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
Extraction of Math Expressions from PDF Documents Based on ..:
, In:
2019 International Conference on Document Analysis and Recognition (ICDAR)
,
Wang, Zelun
;
Beyette, Donald
;
Lin, Jason
. - p. 381-386 , 2019
Link:
https://doi.org/10.1109/ICDAR.2019.00068
RT T1
2019 International Conference on Document Analysis and Recognition (ICDAR)
: T1
Extraction of Math Expressions from PDF Documents Based on Unsupervised Modeling of Fonts
UL https://suche.suub.uni-bremen.de/peid=ieee-8978012&Exemplar=1&LAN=DE A1 Wang, Zelun A1 Beyette, Donald A1 Lin, Jason A1 Liu, Jyh-Charn YR 2019 SN 2379-2140 K1 Portable document format K1 Feature extraction K1 Optical character recognition software K1 Metadata K1 Histograms K1 Computer science K1 Shape K1 math expressions K1 pdf documents K1 unsupervised learning K1 likehood ratio test SP 381 OP 386 LK http://dx.doi.org/https://doi.org/10.1109/ICDAR.2019.00068 DO https://doi.org/10.1109/ICDAR.2019.00068 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)