Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Carel, Elodie"'
Autor:
Carel, Elodie
Les entreprises doivent traiter quotidiennement de gros volumes de documents papiers de toutes sortes. Automatisation, traçabilité, alimentation de systèmes d’informations, réduction des coûts et des délais de traitement, la dématérialisati
Externí odkaz:
http://www.theses.fr/2015LAROS014/document
Autor:
Ruszaj, Marc, van der Miesen, Anna, Fischbach, Abigal, Carel, Elodie, Hindenach, Andy, Burgwal, Aisa, Perroni, Sapphire, van Wieringen, Isa M., Kooke, Annika S., Strang, John F.
Publikováno v:
In Journal of the American Academy of Child & Adolescent Psychiatry October 2024 63(10) Supplement:S224-S225
Publikováno v:
Document Analysis and Recognition – ICDAR 2021 ISBN: 9783030863302
ICDAR (2)
International Conference on Document Analysis and Recognition ICDAR 2021
International Conference on Document Analysis and Recognition ICDAR 2021, Sep 2021, Lausanne, Switzerland. pp.699-714, ⟨10.1007/978-3-030-86331-9_45⟩
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Document Analysis and Recognition – ICDAR 2021
ICDAR (2)
International Conference on Document Analysis and Recognition ICDAR 2021
International Conference on Document Analysis and Recognition ICDAR 2021, Sep 2021, Lausanne, Switzerland. pp.699-714, ⟨10.1007/978-3-030-86331-9_45⟩
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Document Analysis and Recognition – ICDAR 2021
International audience; The present paper is focused on information extraction from key fields of invoices using two different methods based on sequence labeling. Invoices are semi-structured documents in which data can be located based on the contex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3551bccfd3b71a5e9919348e4c1df0cf
https://doi.org/10.1007/978-3-030-86331-9_45
https://doi.org/10.1007/978-3-030-86331-9_45
Autor:
Carel, Elodie
Publikováno v:
Traitement des images [eess.IV]. Université de La Rochelle, 2015. Français. ⟨NNT : 2015LAROS014⟩
Industrial companies receive huge volumes of documents everyday. Automation, traceability, feeding information systems, reducing costs and processing times, dematerialization has a clear economic impact. In order to respect the industrial constraints
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a5180a86ee6288d87d63ac2ae19d238b
https://tel.archives-ouvertes.fr/tel-01373416
https://tel.archives-ouvertes.fr/tel-01373416
Publikováno v:
2015 13th International Conference on Document Analysis & Recognition (ICDAR); 2015, p806-810, 5p
Autor:
Carel, Elodie, Burie, Jean-Christophe, Courboulay, Vincent, Ogier, Jean-Marc, d'Andecy, Vincent Poulain
Publikováno v:
2015 13th International Conference on Document Analysis & Recognition (ICDAR); 2015, p566-570, 5p
Autor:
Jean-Marc Ogier, Elodie Carel, Vincent Courboulay, Jean-Christophe Burie, Vincent Poulain d'Andecy
Publikováno v:
ICDAR
13th International Conference on Document Analysis and Recognition (ICDAR15)
13th International Conference on Document Analysis and Recognition (ICDAR15), Aug 2015, Nancy, France
13th International Conference on Document Analysis and Recognition (ICDAR15)
13th International Conference on Document Analysis and Recognition (ICDAR15), Aug 2015, Nancy, France
International audience; —Administrative document images are usually processed in black and white what generates many problems due to the errors related to the binarization. Besides all semantic information provided by the color is lost. Document im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c01bfd915e5f00c7fbfcba0c2a85d97
https://doi.org/10.1109/icdar.2015.7333825
https://doi.org/10.1109/icdar.2015.7333825