Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease

Vasquez-Correa, J.C., Orozco-Arroyave, J.R., Arora, R. et al. (12 more authors) (2017) Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5-9 March 2017, New Orleans, LA, USA. IEEE , pp. 2966-2970. ISBN 9781509041176

Abstract

Metadata

Authors/Creators:
  • Vasquez-Correa, J.C.
  • Orozco-Arroyave, J.R.
  • Arora, R.
  • Noth, E.
  • Dehak, N.
  • Christensen, H.
  • Rudzicz, F.
  • Bocklet, T.
  • Cernak, M.
  • Chinaei, H.
  • Hannink, J.
  • Nidadavolu, P.S.
  • Yancheva, M.
  • Vann, A.
  • Vogler, N.
Copyright, Publisher and Additional Information: © 2017 IEEE.
Keywords: Parkinson’s disease; Multi-view learning; GCCA; Speech processing; Handwriting processing; Gait processing; UPDRS; Frenchay dysarthria assessment
Dates:
  • Published: 19 June 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Sheffield Centre for Health and Related Research
Depositing User: Symplectic Sheffield
Date Deposited: 08 Aug 2017 14:42
Last Modified: 19 Jun 2018 00:39
Published Version: https://www.doi.org/10.1109/ICASSP.2017.7952700
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/ICASSP.2017.7952700

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