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Machine learning techniques for gait...
~
Mason, James Eric.
Machine learning techniques for gait biometric recognitionusing the ground reaction force /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Machine learning techniques for gait biometric recognitionby James Eric Mason, Issa Traore, Isaac Woungang.
Reminder of title:
using the ground reaction force /
Author:
Mason, James Eric.
other author:
Traore, Issa.
Published:
Cham :Springer International Publishing :2016.
Description:
xxxiv, 223 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Machine learning.
Online resource:
http://dx.doi.org/10.1007/978-3-319-29088-1
ISBN:
9783319290881$q(electronic bk.)
Machine learning techniques for gait biometric recognitionusing the ground reaction force /
Mason, James Eric.
Machine learning techniques for gait biometric recognition
using the ground reaction force /[electronic resource] :by James Eric Mason, Issa Traore, Isaac Woungang. - Cham :Springer International Publishing :2016. - xxxiv, 223 p. :ill., digital ;24 cm.
Introduction -- Background -- Experimental Design and Dataset -- Feature Extraction -- Normalization -- Classification -- Measured Performance -- Experimental Analysis -- Conclusion.
ISBN: 9783319290881$q(electronic bk.)
Standard No.: 10.1007/978-3-319-29088-1doiSubjects--Topical Terms:
188639
Machine learning.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Machine learning techniques for gait biometric recognitionusing the ground reaction force /
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Machine learning techniques for gait biometric recognition
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using the ground reaction force /
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by James Eric Mason, Issa Traore, Isaac Woungang.
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ill., digital ;
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Introduction -- Background -- Experimental Design and Dataset -- Feature Extraction -- Normalization -- Classification -- Measured Performance -- Experimental Analysis -- Conclusion.
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000000123193
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EB Q325.5 M399 2016
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1 records • Pages 1 •
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http://dx.doi.org/10.1007/978-3-319-29088-1
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