An SVD and Derivative Kernel Approach to Learning from Geometric Data

Eric Wong, J. Zico Kolter. An SVD and Derivative Kernel Approach to Learning from Geometric Data. In Blai Bonet, Sven Koenig, editors, Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. pages 1889-1895, AAAI Press, 2015. [doi]

@inproceedings{WongK15,
  title = {An SVD and Derivative Kernel Approach to Learning from Geometric Data},
  author = {Eric Wong and J. Zico Kolter},
  year = {2015},
  url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9708},
  researchr = {https://researchr.org/publication/WongK15},
  cites = {0},
  citedby = {0},
  pages = {1889-1895},
  booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA},
  editor = {Blai Bonet and Sven Koenig},
  publisher = {AAAI Press},
  isbn = {978-1-57735-698-1},
}