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.
Chapter “The KuiSCIMA Dataset for Optical Music Recognition of Ancient Chinese Suzipu Notation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Chapter "The KuiSCIMA Dataset for Optical Music Recognition of Ancient Chinese Suzipu Notation" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerAnbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering. Artikel-Nr. 9783031705519
Anzahl: 1 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 520 pages. 9.26x6.11x9.21 inches. In Stock. Artikel-Nr. x-3031705513
Anzahl: 2 verfügbar