Discovering Optimal Variable-length Time Series Motifs in Large-scale Wearable Recordings of Human Bio-behavioral Signals. Feng, T. and Narayanan, S. S. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019, pages 7615–7619, 2019.
Discovering Optimal Variable-length Time Series Motifs in Large-scale Wearable Recordings of Human Bio-behavioral Signals [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/icassp/FengN19,
  author    = {Tiantian Feng and
               Shrikanth S. Narayanan},
  title     = {Discovering Optimal Variable-length Time Series Motifs in Large-scale
               Wearable Recordings of Human Bio-behavioral Signals},
  booktitle = {{IEEE} International Conference on Acoustics, Speech and Signal Processing,
               {ICASSP} 2019, Brighton, United Kingdom, May 12-17, 2019},
  pages     = {7615--7619},
  year      = {2019},
  crossref  = {DBLP:conf/icassp/2019},
  url       = {https://doi.org/10.1109/ICASSP.2019.8682427},
  doi       = {10.1109/ICASSP.2019.8682427},
  timestamp = {Wed, 16 Oct 2019 14:14:52 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/icassp/FengN19},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
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