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/BFB0014922Markdown
[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/BFB0014922BibTeX
@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/}
}