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

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.

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Dades bibliogràfiques
Autor corporatiu:	SpringerLink (Online service)
Altres autors:	Barney Smith, Elisa H. (Editor), Liwicki, Marcus (Editor), Peng, Liangrui (Editor)
Format:	Electrònic eBook
Idioma:	anglès
Publicat:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edició:	1st ed. 2024.
Col·lecció:	Lecture Notes in Computer Science, 14809
Matèries:	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.
Accés en línia:	https://doi.org/10.1007/978-3-031-70552-6
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Descripció
Sumari:	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.
Descripció física:	XVII, 444 p. 162 illus., 109 illus. in color. online resource.
ISBN:	9783031705526
ISSN:	1611-3349 ;
DOI:	10.1007/978-3-031-70552-6