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Spectral geometry of shapesprinciple...

Hu, Jiaxi,

Spectral geometry of shapesprinciples and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Spectral geometry of shapesJing Hua, Zichun Zhong, Jiaxi Hu.
Reminder of title:	principles and applications /
Author:	Hua, Jing,
other author:	Zhong, Zichun,
Published:	Amsterdam :Academic Press,2020.
Description:	1 online resource.
Notes:	1. Introduction 2. Spectral Geometry Operation 3. Spectral Geometric Features for Shapes 4. Isometric Shape Analysis Using Spectral Geometry 5. Near Isometric Shape Motion Analysis Using Spectral Geometry 6. Non-Isometric Shape Motion Analysis by Variation of Shape Spectrum 7. Machine Learning of Spectral Geometry 8. Conclusions
Subject:	Pattern recognition systems.
Online resource:	https://www.sciencedirect.com/science/book/9780128138427
ISBN:	9780128138434 (electronic bk.)

Spectral geometry of shapesprinciples and applications /
Hua, Jing,

Spectral geometry of shapesprinciples and applications /[electronic resource] :Jing Hua, Zichun Zhong, Jiaxi Hu. - Amsterdam :Academic Press,2020. - 1 online resource. - Computer vision and pattern recognition.

<p>1. Introduction 2. Spectral Geometry Operation 3. Spectral Geometric Features for Shapes 4. Isometric Shape Analysis Using Spectral Geometry 5. Near Isometric Shape Motion Analysis Using Spectral Geometry 6. Non-Isometric Shape Motion Analysis by Variation of Shape Spectrum 7. Machine Learning of Spectral Geometry 8. Conclusions</p>

ISBN: 9780128138434 (electronic bk.)Subjects--Topical Terms:

183725
Pattern recognition systems.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: TK7882.P3

Dewey Class. No.: 006.4

Spectral geometry of shapesprinciples and applications /
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245 1 0 $a Spectral geometry of shapes $h [electronic resource] : $b principles and applications / $c Jing Hua, Zichun Zhong, Jiaxi Hu.
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300 $a 1 online resource.
490 0 $a Computer vision and pattern recognition
500 $a <p>1. Introduction 2. Spectral Geometry Operation 3. Spectral Geometric Features for Shapes 4. Isometric Shape Analysis Using Spectral Geometry 5. Near Isometric Shape Motion Analysis Using Spectral Geometry 6. Non-Isometric Shape Motion Analysis by Variation of Shape Spectrum 7. Machine Learning of Spectral Geometry 8. Conclusions</p>
588 $a Description based on CIP data; resource not viewed.
650 0 $a Pattern recognition systems. $3 183725
650 0 $a Computer vision. $3 200113
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Zhong, Zichun, $e author. $3 895961
700 1 $a Hu, Jiaxi, $e author. $3 895962
856 4 0 $u https://www.sciencedirect.com/science/book/9780128138427