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


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.


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Product Description

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.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Studies in Computational Intelligence, 90

Release date

2008

Availability

Expected to ship within 12 - 17 working days

First published

2008

Editors

,

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

Barcode

9783540762799

Categories

LSN

3-540-76279-5



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