Download the fantastic book titled Machine Learning in Document Analysis and Recognition written by Simone Marinai, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning in Document Analysis and Recognition", which was released on 10 January 2008. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Machine Learning in Document Analysis and Recognition by Simone Marinai PDF
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.
Detail About Machine Learning in Document Analysis and Recognition PDF
- Author : Simone Marinai
- Publisher : Springer Science & Business Media
- Genre : Computers
- Total Pages : 435 pages
- ISBN : 3540762795
- Release Date : 10 January 2008
- PDF File Size : 17,7 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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