CNN and KPCA-Based Automated Feature Extraction for Real Time Driving Pattern Recognition

Xie, L; Tao, J; Zhang, Q; Zhou, H

dc.contributor.author	Xie, L	en_US
dc.contributor.author	Tao, J	en_US
dc.contributor.author	Zhang, Q	en_US
dc.contributor.author	Zhou, H	en_US
dc.date.accessioned	2019-10-30T10:56:00Z
dc.date.issued	2019	en_US
dc.identifier.issn	2169-3536	en_US
dc.identifier.uri	https://qmro.qmul.ac.uk/xmlui/handle/123456789/60989
dc.format.extent	123765 - 123775	en_US
dc.relation.ispartof	IEEE ACCESS	en_US
dc.rights	This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights	Attribution 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/us/	*
dc.subject	Convolution neural network	en_US
dc.subject	driving pattern recognition	en_US
dc.subject	feature selection	en_US
dc.subject	kernel principle component analysis	en_US
dc.title	CNN and KPCA-Based Automated Feature Extraction for Real Time Driving Pattern Recognition	en_US
dc.type	Article
dc.rights.holder	© The Author(s) 2019
dc.identifier.doi	10.1109/ACCESS.2019.2938768	en_US
pubs.author-url	http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000498605900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a	en_US
pubs.notes	Not known	en_US
pubs.publication-status	Published	en_US
pubs.volume	7	en_US
rioxxterms.funder	Default funder	en_US
rioxxterms.identifier.project	Default project	en_US

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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.