Document Analysis and Recognition - ICDAR 2024
18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part VI
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Descripción editorial
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.
GÉNERO
Informática e Internet
PUBLICADO
2024
10 de septiembre
IDIOMA
EN
Inglés
EXTENSIÓN
461
Páginas
EDITORIAL
Springer Nature Switzerland
VENDEDOR
Springer Nature B.V.
TAMAÑO
72.7
MB
Document Analysis and Recognition - ICDAR 2024
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Document Analysis and Recognition - ICDAR 2024
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Document Analysis and Recognition - ICDAR 2024
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Document Analysis and Recognition - ICDAR 2024
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