Code: 01569467
Machine Learning in Document Analysis and Recognition
by Simone Marinai, Hiromichi Fujisawa
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 lead ... more
- Language:
English - Binding: Hardback
- Number of pages: 434
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2008
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Book synopsis
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.
Book details
Book category Knihy po anglicky Computing & information technology Computer science Artificial intelligence
154.39 €
- Full title: Machine Learning in Document Analysis and Recognition
- Author: Simone Marinai, Hiromichi Fujisawa
- Language: English
- Binding: Hardback
- Number of pages: 434
- EAN: 9783540762799
- ISBN: 3540762795
- ID: 01569467
- Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
- Weight: 768 g
- Dimensions: 239 × 157 × 20 mm
- Date of publishing: 10. January 2008
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