A Distance for HMMs Based on Aggregated Wasserstein Metric and State Registration

Yukun Chen, Jianbo Ye, Jia Li. A Distance for HMMs Based on Aggregated Wasserstein Metric and State Registration. In Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling, editors, Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VI. Volume 9910 of Lecture Notes in Computer Science, pages 451-466, Springer, 2016. [doi]

@inproceedings{ChenYL16-3,
  title = {A Distance for HMMs Based on Aggregated Wasserstein Metric and State Registration},
  author = {Yukun Chen and Jianbo Ye and Jia Li},
  year = {2016},
  doi = {10.1007/978-3-319-46466-4_27},
  url = {http://dx.doi.org/10.1007/978-3-319-46466-4_27},
  researchr = {https://researchr.org/publication/ChenYL16-3},
  cites = {0},
  citedby = {0},
  pages = {451-466},
  booktitle = {Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VI},
  editor = {Bastian Leibe and Jiri Matas and Nicu Sebe and Max Welling},
  volume = {9910},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-46465-7},
}