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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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Bibliografiset tiedot
Yhteisötekijä:	SpringerLink (Online service)
Muut tekijät:	Barney Smith, Elisa H. (Toimittaja), Liwicki, Marcus (Toimittaja), Peng, Liangrui (Toimittaja)
Aineistotyyppi:	Elektroninen E-kirja
Kieli:	englanti
Julkaistu:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Painos:	1st ed. 2024.
Sarja:	Lecture Notes in Computer Science, 14809
Aiheet:	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.
Linkit:	https://doi.org/10.1007/978-3-031-70552-6
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!

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