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]
@inproceedings{TrostenSKJ19,
title = {Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series},
author = {Daniel J. Trosten and Andreas Storvik Strauman and Michael Kampffmeyer and Robert Jenssen},
year = {2019},
doi = {10.1109/ICASSP.2019.8682365},
url = {https://doi.org/10.1109/ICASSP.2019.8682365},
researchr = {https://researchr.org/publication/TrostenSKJ19},
cites = {0},
citedby = {0},
pages = {3257-3261},
booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019},
publisher = {IEEE},
isbn = {978-1-4799-8131-1},
}