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Document Analysis and Recognition - ICDAR 2024 [electronic resource] : 18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part VI / edited by Elisa H. Barney Smith, Marcus Liwicki, Liangrui Peng.

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TextSeries: Lecture Notes in Computer Science ; 14809Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XVII, 444 p. 162 illus., 109 illus. in color. online resourceContent type:

text

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computer

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online resource

ISBN:

9783031705526

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:

TA1501-1820
TA1634

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In: Springer Nature eBookSummary: 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.

Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)

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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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