Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers

Bruno Conejo, Nikos Komodakis, Sébastien Leprince, Jean-Philippe Avouac. Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers. In Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence, Kilian Q. Weinberger, editors, Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada. pages 2105-2113, 2014. [doi]

@inproceedings{ConejoKLA14,
  title = {Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers},
  author = {Bruno Conejo and Nikos Komodakis and Sébastien Leprince and Jean-Philippe Avouac},
  year = {2014},
  url = {http://papers.nips.cc/paper/5357-inference-by-learning-speeding-up-graphical-model-optimization-via-a-coarse-to-fine-cascade-of-pruning-classifiers},
  researchr = {https://researchr.org/publication/ConejoKLA14},
  cites = {0},
  citedby = {0},
  pages = {2105-2113},
  booktitle = {Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada},
  editor = {Zoubin Ghahramani and Max Welling and Corinna Cortes and Neil D. Lawrence and Kilian Q. Weinberger},
}