Motor Imagery Classification Based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices

Xie, X., Yu, Z.L., Lu, H. orcid.org/0000-0002-0349-2181 et al. (2 more authors) (2017) Motor Imagery Classification Based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25 (6). pp. 504-516. ISSN 1534-4320

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Copyright, Publisher and Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Dates:
  • Accepted: 2 July 2016
  • Published (online): 7 July 2016
  • Published: July 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 24 Aug 2017 13:27
Last Modified: 14 Jan 2020 16:28
Published Version: https://doi.org/10.1109/TNSRE.2016.2587939
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TNSRE.2016.2587939

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