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Books > Computing & IT > Applications of computing > Artificial intelligence

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Machine Learning in Document Analysis and Recognition (Paperback, Softcover reprint of hardcover 1st ed. 2008) Loot Price: R4,393

Discovery Miles 43 930

Repayment Terms: R412 pm x 12*

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Machine Learning in Document Analysis and Recognition (Paperback, Softcover reprint of hardcover 1st ed. 2008): Simone Marinai,...

Machine Learning in Document Analysis and Recognition (Paperback, Softcover reprint of hardcover 1st ed. 2008)

Simone Marinai, Hiromichi Fujisawa

Series: Studies in Computational Intelligence, 90

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Loot Price R4,393 Discovery Miles 43 930 | Repayment Terms: R412 pm x 12*

Expected to ship within 10 - 15 working days

Description
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The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world. It includes pointers to challenges and opportunities for future research directions. The main goal of the book is to identify good practices for the use of learning strategies in DAR.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 90
Release date:	November 2010
First published:	2008
Editors:	Simone Marinai • Hiromichi Fujisawa
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Paperback
Pages:	434
Edition:	Softcover reprint of hardcover 1st ed. 2008
ISBN-13:	978-3-642-09511-5
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-642-09511-9
Barcode:	9783642095115