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Document Analysis and Recognition – ICDAR 2024 Workshops Athens, Greece, August 30–31, 2024, Proceedings, Part I /

This two-volume set LNCS 14935-14936 constitutes the proceedings of International Workshops co-located with the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–31, 2024. The total of 30 regular papers presented in these proceed...

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Détails bibliographiques
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Mouchère, Harold (Éditeur intellectuel), Zhu, Anna (Éditeur intellectuel)
Format: Électronique eBook
Langue:anglais
Publié: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Édition:1st ed. 2024.
Collection:Lecture Notes in Computer Science, 14935
Sujets:
Image processing > Digital techniques.
Computer vision.
Machine learning.
Natural language processing (Computer science).
Database management.
Application software.
Information storage and retrieval systems.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Machine Learning.
Natural Language Processing (NLP).
Database Management.
Computer and Information Systems Applications.
Information Storage and Retrieval.
Accès en ligne:https://doi.org/10.1007/978-3-031-70645-5
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Résumé:This two-volume set LNCS 14935-14936 constitutes the proceedings of International Workshops co-located with the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–31, 2024. The total of 30 regular papers presented in these proceedings were carefully selected from 46 submissions. Part I contains 16 regular papers that stem from the following workshops: ICDAR 2024 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); ICDAR 2024 Workshop on Advanced Analysis and Recognition of Parliamentary Corpora (ARPC); ICDAR 2024 Workshop on coMics ANalysis, Processing and Understanding (MANPU). Part II contains 14 regular papers that stem from the following workshops: ICDAR 2024 Workshop on Computational Paleography (IWCP); ICDAR 2024 Workshop on Machine Vision and NLP for Document Analysis (VINALDO).
Description matérielle:XX, 284 p. 92 illus., 83 illus. in color. online resource.
ISBN:9783031706455
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-70645-5

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