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Machine Learning in Document Analysis and Recognition (Hardcover, 2008 ed.) Loot Price: R4,080
Discovery Miles 40 800
Repayment Terms: R382 pm x 12*
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Machine Learning in Document Analysis and Recognition (Hardcover, 2008 ed.): Simone Marinai, Hiromichi Fujisawa

Machine Learning in Document Analysis and Recognition (Hardcover, 2008 ed.)

Simone Marinai, Hiromichi Fujisawa

Series: Studies in Computational Intelligence, 90

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Loot Price R4,080 Discovery Miles 40 800 | Repayment Terms: R382 pm x 12*

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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: 2008
First published: 2008
Editors: Simone Marinai • Hiromichi Fujisawa
Dimensions: 235 x 155 x 20mm (L x W x T)
Format: Hardcover
Pages: 434
Edition: 2008 ed.
ISBN-13: 978-3-540-76279-9
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-540-76279-5
Barcode: 9783540762799

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