Performance evaluation of deep feature learning for RGB-D image/video classification

Cai, Z. (2017) Performance evaluation of deep feature learning for RGB-D image/video classification. Information Sciences, 385. pp. 266-283. ISSN 0020-0255

Abstract

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Authors/Creators:
  • Cai, Z.
Copyright, Publisher and Additional Information: © 2017 Elsevier. This is an author produced version of a paper subsequently published in Information Sciences. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: Deep neural networks; RGB-D data; Feature learning; Performance evaluation
Dates:
  • Published: 9 February 2017
  • Accepted: 2 January 2017
  • Published (online): 3 January 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 09 Mar 2017 10:04
Last Modified: 03 Jan 2018 01:38
Published Version: https://doi.org/10.1016/j.ins.2017.01.013
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ins.2017.01.013

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