Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series - researchr publication

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Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen. Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019. pages 3257-3261, IEEE, 2019. [doi]

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