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Fornés, Alicia:

Document Analysis and Recognition ¿ ICDAR 2023 Workshops | San José, CA, USA, August 24¿26, 2023, Proceedings, Part I | Alicia Fornés (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxiii - Paperback

2023, ISBN: 9783031414978

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Fornés, Alicia:

Document Analysis and Recognition ¿ ICDAR 2023 Workshops | San José, CA, USA, August 24¿26, 2023, Proceedings, Part I | Alicia Fornés (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxiii - Paperback

2023, ISBN: 9783031414978

[ED: Taschenbuch], [PU: Springer Nature Switzerland], This two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Co… More...

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Alicia Fornés:
Document Analysis and Recognition ¿ ICDAR 2023 Workshops - Paperback

2015

ISBN: 9783031414978

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Document Analysis and Recognition – ICDAR 2023 Workshops - Mickael Coustaty; Alicia Fornés
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Mickael Coustaty; Alicia Fornés:
Document Analysis and Recognition – ICDAR 2023 Workshops - new book

2023, ISBN: 9783031414978

This two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2… More...

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Document Analysis and Recognition – ICDAR 2023 Workshops - Mickael Coustaty; Alicia Fornés
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Mickael Coustaty; Alicia Fornés:
Document Analysis and Recognition – ICDAR 2023 Workshops - new book

2023, ISBN: 9783031414978

This two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2… More...

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Document Analysis and Recognition ICDAR 2023 Workshops
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9783031414978

Details of the book - Document Analysis and Recognition ICDAR 2023 Workshops


EAN (ISBN-13): 9783031414978
ISBN (ISBN-10): 3031414977
Paperback
Publishing year: 2023
Publisher: Springer Nature Switzerland

Book in our database since 2024-02-01T06:55:31-05:00 (New York)
Book found last time on 2026-04-19T19:36:17-04:00 (New York)
ISBN/EAN: 9783031414978

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3-031-41497-7, 978-3-031-41497-8
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Book title: document 1970 1980

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Author: Mickael Coustaty; Alicia Fornés, (ORCID: 000000020123439X)
Title: Lecture Notes in Computer Science; Document Analysis and Recognition – ICDAR 2023 Workshops - San José, CA, USA, August 24–26, 2023, Proceedings, Part I
Publisher: Springer; Springer International Publishing
327 Pages
Publishing year: 2023-08-15
Cham; CH
Printed / Made in
Language: English
80,24 € (DE)
82,49 € (AT)
88,50 CHF (CH)
POD
XXIII, 327 p. 157 illus., 124 illus. in color.

BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Bildverarbeitung; Verstehen; Document Image Analysis and Recognition; Natural Language Processing; Computational Paleography; Digital Humanities; Personalized Document Analysis; Graphics Recognition; Optical Character Recognition; Table Extraction; Deep Learning; Computer Imaging, Vision, Pattern Recognition and Graphics; Machine Learning; Database Management; Natural Language Processing (NLP); Computer Application in Social and Behavioral Sciences; Information Storage and Retrieval; Maschinelles Lernen; Datenbanken; Natürliche Sprachen und maschinelle Übersetzung; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Informationsrückgewinnung, Information Retrieval; Data Warehousing; EA

This two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, during August 21–26, 2023.

The total of 43 regular papers presented in this book were carefully selected from 60 submissions. 

Part I contains 22 regular papers that stem from the following workshops:

ICDAR 2023 Workshop on Computational Paleography (IWCP);

ICDAR 2023 Workshop on Camera-Based Document Analysis and Recognition (CBDAR);

ICDAR 2023 International Workshop on Graphics Recognition (GREC);

ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA);

Part II contains 21 regular papers that stem from the following workshops:

ICDAR 2023 International Workshop on MachineLearning (WML).

 

Beyond Human Forgeries: An Investigation into Detecting Diffusion-Generated Handwriting.- Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs.- The Adaptability of a Transformer-based OCR Model for Historical Documents.- Using GANs for Domain Adaptive High Resolution Synthetic Document Generation.- A Survey and Approach to Chart Classification.- Segmentation-Free Alignment of Arbitrary Symbol Transcripts to Images.- Optical Music Recognition: Recent Advances, Current Challenges, and Future Directions.- Reconstruction of Power Lines from Point Clouds.- KangaiSet : A Dataset for Visual Emotion Recognition on Manga.- MuraNet: Multi-task Floor Plan Recognition with Relation Attention.- Automatic Detection of Comic Characters: An Analysis of Model Robustness Across Domains.- FPNet: Deep Attention Network for Automated Floor Plan Analysis.- Detection of buried complex text. Case of Onomatopoeia in comics books.- Text Extraction for Handwritten CircuitDiagram Images.- Can Pre-trained Language Models help in Understanding Handwritten Symbols?.- On Text Localization in End-to-End OCR-Free Document Understanding Transformer without Text Localization Supervision.- IndicSTR12: A Dataset for Indic Scene Text Recognition.- Reconstruction of Broken Writing Strokes in Greek Papyri.- Collaborative Annotation and Computational Analysis of Hieratic.- Efficient Annotation of Medieval Charters.- Greek Literary Papyri Dating Benchmark.- Stylistic Similarities in Greek Papyri based on Letter Shapes: A Deep Learning approach.


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