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Document Analysis Systems [electronic resource] : 15th IAPR International Workshop, DAS 2022, La Rochelle, France, May 22-25, 2022, Proceedings / edited by Seiichi Uchida, Elisa Barney, Véronique Eglin.

Contributor(s): Uchida, Seiichi [editor.] | Barney, Elisa [editor.] | Eglin, Véronique [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 13237Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022.Description: XVIII, 789 p. 304 illus., 246 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031065552.Subject(s): Database management | Data mining | Information storage and retrieval systems | Machine learning | Pattern recognition systems | Database Management | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Machine Learning | Automated Pattern RecognitionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.74 Online resources: Click here to access online In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 15th IAPR International Workshop on Document Analysis Systems, DAS 2022, held in La Rochelle, France, in May 2022. The full papers presented were carefully reviewed and selected from numerous submissions addressing key techniques of document analysis.
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This book constitutes the refereed proceedings of the 15th IAPR International Workshop on Document Analysis Systems, DAS 2022, held in La Rochelle, France, in May 2022. The full papers presented were carefully reviewed and selected from numerous submissions addressing key techniques of document analysis.

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