Corpus ID: 14639343

Complexity of Representation and Inference in Compositional Models with Part Sharing

@article{Yuille2016ComplexityOR,
  title={Complexity of Representation and Inference in Compositional Models with Part Sharing},
  author={A. Yuille and R. Mottaghi},
  journal={J. Mach. Learn. Res.},
  year={2016},
  volume={17},
  pages={11:1-11:28}
}
This paper performs a complexity analysis of a class of serial and parallel compositional models of multiple objects and shows that they enable efficient representation and rapid inference. Compositional models are generative and represent objects in a hierarchically distributed manner in terms of parts and subparts, which are constructed recursively by part-subpart compositions. Parts are represented more coarsely at higher level of the hierarchy, so that the upper levels give coarse summary… Expand
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