Document Analysis and Recognition - ICDAR 2024 Document Analysis and Recognition - ICDAR 2024

Document Analysis and Recognition - ICDAR 2024

18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part VI

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Beschreibung des Verlags

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.

GENRE
Computer und Internet
ERSCHIENEN
2024
10. September
SPRACHE
EN
Englisch
UMFANG
461
Seiten
VERLAG
Springer Nature Switzerland
ANBIETERINFO
Springer Science & Business Media LLC
GRÖSSE
72,7
 MB
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