Description: Machine Learning in Document Analysis and Recognition, Paperback by Marinai, Simone; Fujisawa, Hiromichi, ISBN 3642095119, ISBN-13 9783642095115, Brand New, Free shipping in the US 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 th is to identify good practices for the use of learning strategies in DAR.
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Book Title: Machine Learning in Document Analysis and Recognition
Number of Pages: Xii, 434 Pages
Publication Name: Machine Learning in Document Analysis and Recognition
Language: English
Publisher: Springer Berlin / Heidelberg
Publication Year: 2010
Subject: Engineering (General), Communication Studies, Intelligence (Ai) & Semantics, Applied, Computer Vision & Pattern Recognition
Item Weight: 24.1 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Technology & Engineering, Language Arts & Disciplines
Item Length: 9.3 in
Author: Hiromichi Fujisawa
Series: Studies in Computational Intelligence Ser.
Item Width: 6.1 in
Format: Trade Paperback
