Discovering Optimal Variable-length Time Series Motifs in Large-scale Wearable Recordings of Human Bio-behavioral Signals

TianTian Feng, Shrikanth S. Narayanan. Discovering Optimal Variable-length Time Series Motifs in Large-scale Wearable Recordings of Human Bio-behavioral Signals. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019. pages 7615-7619, IEEE, 2019. [doi]

@inproceedings{FengN19-0,
  title = {Discovering Optimal Variable-length Time Series Motifs in Large-scale Wearable Recordings of Human Bio-behavioral Signals},
  author = {TianTian Feng and Shrikanth S. Narayanan},
  year = {2019},
  doi = {10.1109/ICASSP.2019.8682427},
  url = {https://doi.org/10.1109/ICASSP.2019.8682427},
  researchr = {https://researchr.org/publication/FengN19-0},
  cites = {0},
  citedby = {0},
  pages = {7615-7619},
  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},
}