Document Analysis Systems: 14th IAPR International Workshop, DAS 2020, Wuhan, China, July 26–29, 2020, Proceedings: 12116 (Image Processing, Computer Vision, Pattern Recognition, and Graphics) - Tapa blanda

9783030570576: Document Analysis Systems: 14th IAPR International Workshop, DAS 2020, Wuhan, China, July 26–29, 2020, Proceedings: 12116 (Image Processing, Computer Vision, Pattern Recognition, and Graphics)

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ISBN 10: 3030570576 ISBN 13: 9783030570576

Editorial: Springer, 2020

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This book constitutes the refereed proceedings of the 14th IAPR International Workshop on Document Analysis Systems, DAS 2020, held in Wuhan, China, in July 2020.

The 40 full papers presented in this book were carefully reviewed and selected from 57 submissions. The papers are grouped in the following topical sections: character and text recognition; document image processing; segmentation and layout analysis; word embedding and spotting; text detection; and font design and classification.

Due to the Corona pandemic the conference was held as a virtual event .

"Sinopsis" puede pertenecer a otra edici�n de este libro.

Editorial: Springer
A�o de publicaci�n: 2020
Idioma: Ingl�s
ISBN 10: 3030570576
ISBN 13: 9783030570576
Encuadernaci�n: Tapa blanda
N�mero de edici�n: 1
N�mero de p�ginas: 604
Editor: Bai Xiang, Karatzas Dimosthenis, Lopresti Daniel
Contacto del fabricante: Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
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Document Analysis Systems: 14th IAPR International Workshop, DAS 2020, Wuhan, China, July 26-29, 2020, Proceedings (Image Processing, Computer Vision, Pattern Recognition, and Graphics)

Publicado por Springer, 2020

ISBN 10: 3030570576 ISBN 13: 9783030570576

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Document Analysis Systems

Xiang Bai

Publicado por Springer International Publishing Aug 2020, 2020

ISBN 10: 3030570576 ISBN 13: 9783030570576

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 14th IAPR International Workshop on Document Analysis Systems, DAS 2020, held in Wuhan, China, in July 2020.The 40 full papers presented in this book were carefully reviewed and selected from 57 submissions. The papers are grouped in the following topical sections: character and text recognition; document image processing; segmentation and layout analysis; word embedding and spotting; text detection; and font design and classification.Due to the Corona pandemic the conference was held as a virtual event . 604 pp. Englisch. N� de ref. del art�culo: 9783030570576

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Document Analysis Systems : 14th IAPR International Workshop, DAS 2020, Wuhan, China, July 26�29, 2020, Proceedings

Xiang Bai

Publicado por Springer International Publishing, 2020

ISBN 10: 3030570576 ISBN 13: 9783030570576

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Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 14th IAPR International Workshop on Document Analysis Systems, DAS 2020, held in Wuhan, China, in July 2020.The 40 full papers presented in this book were carefully reviewed and selected from 57 submissions. The papers are grouped in the following topical sections: character and text recognition; document image processing; segmentation and layout analysis; word embedding and spotting; text detection; and font design and classification.Due to the Corona pandemic the conference was held as a virtual event . N� de ref. del art�culo: 9783030570576

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Document Analysis Systems

Publicado por Springer International Publishing, 2020

ISBN 10: 3030570576 ISBN 13: 9783030570576

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed proceedings of the 14th IAPR International Workshop on Document Analysis Systems, DAS 2020, held in Wuhan, China, in July 2020.The 40 full papers presented in this book were carefully reviewed and selected from 5. N� de ref. del art�culo: 448684921

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