Importance Sampling Forests for Location Invariant Proprioceptive Terrain Classification

Ditebogo Masha, Michael Burke. Importance Sampling Forests for Location Invariant Proprioceptive Terrain Classification. In Aurona J. Gerber, editor, Artificial Intelligence Research - First Southern African Conference for AI Research, SACAIR 2020, Muldersdrift, South Africa, February 22-26, 2021, Proceedings. Volume 1342 of Communications in Computer and Information Science, pages 154-168, Springer, 2020. [doi]

@inproceedings{MashaB20,
  title = {Importance Sampling Forests for Location Invariant Proprioceptive Terrain Classification},
  author = {Ditebogo Masha and Michael Burke},
  year = {2020},
  doi = {10.1007/978-3-030-66151-9_10},
  url = {https://doi.org/10.1007/978-3-030-66151-9_10},
  researchr = {https://researchr.org/publication/MashaB20},
  cites = {0},
  citedby = {0},
  pages = {154-168},
  booktitle = {Artificial Intelligence Research - First Southern African Conference for AI Research, SACAIR 2020, Muldersdrift, South Africa, February 22-26, 2021, Proceedings},
  editor = {Aurona J. Gerber},
  volume = {1342},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-66151-9},
}