Visual Grammars and Their Neural Nets
Abstract
I exhibit a systematic way to derive neural nets for vision problems. It involves formulating a vision problem as Bayesian inference or decision on a comprehensive model of the visual domain given by a probabilistic grammar.
Cite
Text
Mjolsness. "Visual Grammars and Their Neural Nets." Neural Information Processing Systems, 1991.Markdown
[Mjolsness. "Visual Grammars and Their Neural Nets." Neural Information Processing Systems, 1991.](https://mlanthology.org/neurips/1991/mjolsness1991neurips-visual/)BibTeX
@inproceedings{mjolsness1991neurips-visual,
title = {{Visual Grammars and Their Neural Nets}},
author = {Mjolsness, Eric},
booktitle = {Neural Information Processing Systems},
year = {1991},
pages = {428-435},
url = {https://mlanthology.org/neurips/1991/mjolsness1991neurips-visual/}
}