Using Linking Features in Learning Non-parametric Part Models

Leonid Karlinsky, Shimon Ullman. Using Linking Features in Learning Non-parametric Part Models. In Andrew W. Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid, editors, Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III. Volume 7574 of Lecture Notes in Computer Science, pages 326-339, Springer, 2012. [doi]

@inproceedings{KarlinskyU12,
  title = {Using Linking Features in Learning Non-parametric Part Models},
  author = {Leonid Karlinsky and Shimon Ullman},
  year = {2012},
  doi = {10.1007/978-3-642-33712-3_24},
  url = {http://dx.doi.org/10.1007/978-3-642-33712-3_24},
  researchr = {https://researchr.org/publication/KarlinskyU12},
  cites = {0},
  citedby = {0},
  pages = {326-339},
  booktitle = {Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III},
  editor = {Andrew W. Fitzgibbon and Svetlana Lazebnik and Pietro Perona and Yoichi Sato and Cordelia Schmid},
  volume = {7574},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-33711-6},
}