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Machine learning for vision-based mo...

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Machine learning for vision-based motion analysistheory and techniques /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning for vision-based motion analysisedited by Liang Wang ... [et al.].
Reminder of title:	theory and techniques /
other author:	Wang, Liang.
Published:	London :Springer-Verlag London Limited,2011.
Description:	xiv, 372 p. :ill., digital ;24 cm.
Series:	Advances in pattern recognition,
Contained By:	Springer eBooks
Subject:	Machine learning.
Online resource:	http://dx.doi.org/10.1007/978-0-85729-057-1
ISBN:	9780857290571 (electronic bk.)

Machine learning for vision-based motion analysistheory and techniques /
Machine learning for vision-based motion analysistheory and techniques /[electronic resource] :edited by Liang Wang ... [et al.]. - London :Springer-Verlag London Limited,2011. - xiv, 372 p. :ill., digital ;24 cm. - Advances in pattern recognition,1617-7916.

ISBN: 9780857290571 (electronic bk.)Subjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5 / .M33 2011

Dewey Class. No.: 006.31

Machine learning for vision-based motion analysistheory and techniques /
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020 $a 9780857290571 (electronic bk.)
020 $a 9780857290564 (paper)
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050 0 4 $a Q325.5 $b .M33 2011
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245 0 0 $a Machine learning for vision-based motion analysis $h [electronic resource] : $b theory and techniques / $c edited by Liang Wang ... [et al.].
260 $a London : $b Springer-Verlag London Limited, $c 2011.
300 $a xiv, 372 p. : $b ill., digital ; $c 24 cm.
440 0 $a Advances in pattern recognition, $x 1617-7916
650 0 $a Machine learning. $3 188639
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 0 $a Computer vision. $3 200113
700 1 $a Wang, Liang. $3 227941
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-0-85729-057-1
950 $a Computer Science (Springer-11645)

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EB Q325.5 .M33 2011

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http://dx.doi.org/10.1007/978-0-85729-057-1

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