Linear Latent Force Models Using Gaussian Processes

Alvarez, M.A. orcid.org/0000-0002-8980-4472, Luengo, D. and Lawrence, N.D. orcid.org/0000-0001-9258-1030 (2013) Linear Latent Force Models Using Gaussian Processes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35 (11). pp. 2693-2705. ISSN 0162-8828

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Copyright, Publisher and Additional Information: © 2013 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.
Keywords: Gaussian processes; dynamical systems; multitask learning; motion capture data; spatiotemporal covariances; differential equations
Dates:
  • Published (online): 13 May 2013
  • Published: November 2013
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: 15 Aug 2017 13:51
Last Modified: 23 Mar 2018 07:39
Published Version: https://doi.org/10.1109/TPAMI.2013.86
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TPAMI.2013.86
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