LIDH: An Efficient Filtering Method for Approximate k Nearest Neighbor Queries Based on Local Intrinsic Dimension

Yang Song, Yu Gu 0002, Ge Yu. LIDH: An Efficient Filtering Method for Approximate k Nearest Neighbor Queries Based on Local Intrinsic Dimension. In Yi Cai, Yoshiharu Ishikawa, Jianliang Xu, editors, Web and Big Data - Second International Joint Conference, APWeb-WAIM 2018, Macau, China, July 23-25, 2018, Proceedings, Part I. Volume 10987 of Lecture Notes in Computer Science, pages 268-276, Springer, 2018. [doi]

@inproceedings{SongGY18,
  title = {LIDH: An Efficient Filtering Method for Approximate k Nearest Neighbor Queries Based on Local Intrinsic Dimension},
  author = {Yang Song and Yu Gu 0002 and Ge Yu},
  year = {2018},
  doi = {10.1007/978-3-319-96890-2_22},
  url = {https://doi.org/10.1007/978-3-319-96890-2_22},
  researchr = {https://researchr.org/publication/SongGY18},
  cites = {0},
  citedby = {0},
  pages = {268-276},
  booktitle = {Web and Big Data - Second International Joint Conference, APWeb-WAIM 2018, Macau, China, July 23-25, 2018, Proceedings, Part I},
  editor = {Yi Cai and Yoshiharu Ishikawa and Jianliang Xu},
  volume = {10987},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-96890-2},
}