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Machine learning techniques for gait...

Mason, James Eric.

Machine learning techniques for gait biometric recognition[electronic resource] :using the ground reaction force /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.31
書名/作者:	Machine learning techniques for gait biometric recognition : using the ground reaction force // by James Eric Mason, Issa Traore, Isaac Woungang.
作者:	Mason, James Eric.
其他作者:	Traore, Issa.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xxxiv, 223 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Machine learning.
標題:	Biometric identification.
標題:	Engineering.
標題:	Signal, Image and Speech Processing.
標題:	Biometrics.
標題:	Security Science and Technology.
ISBN:	9783319290881
ISBN:	9783319290867
內容註:	Introduction -- Background -- Experimental Design and Dataset -- Feature Extraction -- Normalization -- Classification -- Measured Performance -- Experimental Analysis -- Conclusion.
電子資源:	http://dx.doi.org/10.1007/978-3-319-29088-1

Machine learning techniques for gait biometric recognition[electronic resource] :using the ground reaction force /
Mason, James Eric.

Machine learning techniques for gait biometric recognitionusing 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

Standard No.: 10.1007/978-3-319-29088-1doiSubjects--Topical Terms:

202931
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning techniques for gait biometric recognition[electronic resource] :using the ground reaction force /
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245 1 0 $a Machine learning techniques for gait biometric recognition $h [electronic resource] : $b using the ground reaction force / $c by James Eric Mason, Issa Traore, Isaac Woungang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xxxiv, 223 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Background -- Experimental Design and Dataset -- Feature Extraction -- Normalization -- Classification -- Measured Performance -- Experimental Analysis -- Conclusion.
650 0 $a Machine learning. $3 202931
650 0 $a Biometric identification. $3 342621
650 1 4 $a Engineering. $3 372756
650 2 4 $a Signal, Image and Speech Processing. $3 463860
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700 1 $a Woungang, Isaac. $3 486807
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