Who killed the directed model?

  title={Who killed the directed model?},
  author={Justin Domke and Alap Karapurkar and Yiannis Aloimonos},
  journal={2008 IEEE Conference on Computer Vision and Pattern Recognition},
Prior distributions are useful for robust low-level vision, and undirected models (e.g. Markov Random Fields) have become a central tool for this purpose. Though sometimes these priors can be specified by hand, this becomes difficult in large models, which has motivated learning these models from data. However, maximum likelihood learning of undirected models is extremely difficult- essentially all known methods require approximations and/or high computational cost. Conversely, directed models… CONTINUE READING