Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach

Di Yao, Gao Cong, Chao Zhang, Jingping Bi. Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach. In 35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019. pages 1358-1369, IEEE, 2019. [doi]

@inproceedings{YaoCZB19,
  title = {Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach},
  author = {Di Yao and Gao Cong and Chao Zhang and Jingping Bi},
  year = {2019},
  doi = {10.1109/ICDE.2019.00123},
  url = {https://doi.org/10.1109/ICDE.2019.00123},
  researchr = {https://researchr.org/publication/YaoCZB19},
  cites = {0},
  citedby = {0},
  pages = {1358-1369},
  booktitle = {35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019},
  publisher = {IEEE},
  isbn = {978-1-5386-7474-1},
}