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Kernel learning algorithms for face ...

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Kernel learning algorithms for face recognition

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Kernel learning algorithms for face recognition/ by Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan.
Author:	Li, Jun-Bao.
other author:	Chu, Shu-Chuan.
Published:	New York, NY :Springer New York : : 2014.,
Description:	xv, 225 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Human face recognition (Computer science) -
Online resource:	http://dx.doi.org/10.1007/978-1-4614-0161-2
ISBN:	9781461401612 (electronic bk.)

Kernel learning algorithms for face recognition
Li, Jun-Bao.

Kernel learning algorithms for face recognition[electronic resource] /by Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan. - New York, NY :Springer New York :2014. - xv, 225 p. :ill., digital ;24 cm.

ISBN: 9781461401612 (electronic bk.)Subjects--Topical Terms:

598555
Human face recognition (Computer science)

Dewey Class. No.: 006.42

Kernel learning algorithms for face recognition
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020 $a 9781461401612 (electronic bk.)
020 $a 9781461401605 (paper)
035 $a 978-1-4614-0161-2
040 $a GP $c GP
041 0 $a eng
082 0 4 $a 006.42 $2 23
090 $a TA1650 $b .L693 2014
100 1 $a Li, Jun-Bao. $3 1020117
245 1 0 $a Kernel learning algorithms for face recognition $h [electronic resource] / $c by Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan.
260 $a New York, NY : $b Springer New York : $b Imprint: Springer, $c 2014.
300 $a xv, 225 p. : $b ill., digital ; $c 24 cm.
650 0 $a Human face recognition (Computer science) $3 598555
650 0 $a Machine learning. $3 561253
650 0 $a Algorithms. $3 527865
650 0 $a Kernel functions. $3 561254
650 1 4 $a Engineering. $3 561152
650 2 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Communications Engineering, Networks. $3 669809
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Image Processing and Computer Vision. $3 670819
700 1 $a Chu, Shu-Chuan. $3 1020118
700 1 $a Pan, Jeng-Shyang. $3 568987
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4614-0161-2
950 $a Engineering (Springer-11647)

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