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Machine Learning in Document Analysi...
~
Fujisawa, Hiromichi.
Machine Learning in Document Analysis and Recognition /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Machine Learning in Document Analysis and Recognition /edited by Simone Marinai, Hiromichi Fujisawa.
other author:
Marinai, Simone.
Published:
Berlin, Heidelberg :Springer-Verlag Berlin Heidelberg,2008.
Description:
xi, 433 p. :ill., digital ;25 cm.
Series:
Studies in Computational Intelligence, ;
Contained By:
Springer eBooks
Subject:
Machine learning.
Online resource:
http://dx.doi.org/10.1007/978-3-540-76280-5
ISBN:
9783540762799 (paper)
Machine Learning in Document Analysis and Recognition /
Machine Learning in Document Analysis and Recognition /
[electronic resource] /edited by Simone Marinai, Hiromichi Fujisawa. - Berlin, Heidelberg :Springer-Verlag Berlin Heidelberg,2008. - xi, 433 p. :ill., digital ;25 cm. - Studies in Computational Intelligence, ;90,1860-949X ;.
ISBN: 9783540762799 (paper)Subjects--Topical Terms:
188639
Machine learning.
LC Class. No.: Q325.5 / .M328 2008
Dewey Class. No.: 006.31
Machine Learning in Document Analysis and Recognition /
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9783540762799 (paper)
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9783540762805 (electronic bk.)
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Machine Learning in Document Analysis and Recognition /
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edited by Simone Marinai, Hiromichi Fujisawa.
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[electronic resource] /
260
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Berlin, Heidelberg :
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2008.
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Springer-Verlag Berlin Heidelberg,
300
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xi, 433 p. :
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ill., digital ;
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25 cm.
440
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Studies in Computational Intelligence, ;
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90,
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1860-949X ;
650
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Machine learning.
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188639
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Optical pattern recognition.
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650
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Engineering.
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Appl.Mathematics/Computational Methods of Engineering.
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273758
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Artificial Intelligence (incl. Robotics)
$3
252959
700
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Marinai, Simone.
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275555
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Fujisawa, Hiromichi.
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275556
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SpringerLink (Online service)
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Springer eBooks
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http://libsw.nuk.edu.tw:81/login?url=http://dx.doi.org/10.1007/978-3-540-76280-5
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http://dx.doi.org/10.1007/978-3-540-76280-5
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Engineering (Springer-11647; ZDB-2-ENG)
based on 0 review(s)
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1
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000000010515
電子館藏
1圖書
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EB Q325.5 .M149 2008
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1 records • Pages 1 •
1
Multimedia
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http://libsw.nuk.edu.tw:81/login?url=http://dx.doi.org/10.1007/978-3-540-76280-5
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