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Document Analysis and Recognition - ICDAR 2024 18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part I /

This six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024. The total of 144 full papers presented in these proceedings were carefully selected from...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Barney Smith, Elisa H. (Editör), Liwicki, Marcus (Editör), Peng, Liangrui (Editör)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edisyon:1st ed. 2024.
Seri Bilgileri:Lecture Notes in Computer Science, 14804
Konular:
Image processing > Digital techniques.
Computer vision.
Computer engineering.
Computer networks .
Machine learning.
Natural language processing (Computer science).
Social sciences > Data processing.
Education > Data processing.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer Engineering and Networks.
Machine Learning.
Natural Language Processing (NLP).
Computer Application in Social and Behavioral Sciences.
Computers and Education.
Online Erişim:https://doi.org/10.1007/978-3-031-70533-5
Etiketler: Etiketle
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Diğer Bilgiler
Özet:This six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024. The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions. The papers reflect topics such as: Document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more. .
Fiziksel Özellikler:XVII, 490 p. 158 illus., 152 illus. in color. online resource.
ISBN:9783031705335
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-70533-5

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