Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model

Xinze Guan, Raviv Raich, Weng-Keen Wong. Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model. In Maria-Florina Balcan, Kilian Q. Weinberger, editors, Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016. Volume 48 of JMLR Workshop and Conference Proceedings, pages 2330-2339, JMLR.org, 2016. [doi]

@inproceedings{GuanRW16,
  title = {Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model},
  author = {Xinze Guan and Raviv Raich and Weng-Keen Wong},
  year = {2016},
  url = {http://jmlr.org/proceedings/papers/v48/guan16.html},
  researchr = {https://researchr.org/publication/GuanRW16},
  cites = {0},
  citedby = {0},
  pages = {2330-2339},
  booktitle = {Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016},
  editor = {Maria-Florina Balcan and Kilian Q. Weinberger},
  volume = {48},
  series = {JMLR Workshop and Conference Proceedings},
  publisher = {JMLR.org},
}