GRIFT: A graphical model for inferring visual classification features from human data

Michael Ross, Andrew Cohen. GRIFT: A graphical model for inferring visual classification features from human data. In John C. Platt, Daphne Koller, Yoram Singer, Sam T. Roweis, editors, Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007. pages 1217-1224, MIT Press, 2007. [doi]

@inproceedings{RossC07:0,
  title = {GRIFT: A graphical model for inferring visual classification features from human data},
  author = {Michael Ross and Andrew Cohen},
  year = {2007},
  url = {http://books.nips.cc/papers/files/nips20/NIPS2007_0471.pdf},
  tags = {classification, data-flow},
  researchr = {https://researchr.org/publication/RossC07%3A0},
  cites = {0},
  citedby = {0},
  pages = {1217-1224},
  booktitle = {Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007},
  editor = {John C. Platt and Daphne Koller and Yoram Singer and Sam T. Roweis},
  publisher = {MIT Press},
}