Using Neural Networks to Learn Shape Decomposition by Successive Prototypication

Abstract

I describe a neural-network which decomposes a set of inputs into a sequence of generative parameters. It uses a series of coupled parameter finding and removing networks and requires the input to be in a particular temporal format.

Cite

Text

Walker. "Using Neural Networks to Learn Shape Decomposition by Successive Prototypication." European Conference on Computer Vision, 1990. doi:10.1007/BFB0014922

Markdown

[Walker. "Using Neural Networks to Learn Shape Decomposition by Successive Prototypication." European Conference on Computer Vision, 1990.](https://mlanthology.org/eccv/1990/walker1990eccv-using/) doi:10.1007/BFB0014922

BibTeX

@inproceedings{walker1990eccv-using,
  title     = {{Using Neural Networks to Learn Shape Decomposition by Successive Prototypication}},
  author    = {Walker, Nicholas},
  booktitle = {European Conference on Computer Vision},
  year      = {1990},
  pages     = {610-612},
  doi       = {10.1007/BFB0014922},
  url       = {https://mlanthology.org/eccv/1990/walker1990eccv-using/}
}