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Programming Machine Learning in Document Analysis and Recognition

Posted on 2010-03-15




Name:Programming Machine Learning in Document Analysis and Recognition
ASIN/ISBN:3540762795
Language:English
File size:3.8 Mb
Publish Date: 2008-02-01
ISBN: 3540762795
Pages: 434 pages
File Type: PDF
File Size: 3,8 MB
Other Info: Springer
   Programming Machine Learning in Document Analysis and Recognition

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Simone Marinai, Hiromichi Fujisawa, "Machine Learning in Document Analysis and Recognition"

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 including pointers to challenges and opportunities for future research directions. The main goals of the book are identification of good practices for the use of learning strategies in DAR, identification of DAR tasks more appropriate for these techniques, and highlighting new learning algorithms that may be successfully applied to DAR.

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