ML Anthology

Similitude-Invariant Pattern Recognition Using Parallel Distributed Processing

K. Prasdny
AAAI 1987 pp. 728-732
/aaai/1987/prasdny1987aaai-similitude/

Abstract

Translation-, rotation-, and scale-invariant recognition of multiple, superimposed, partially specified or occluded objects can be accomplished in a fast, simple, distributed and parallel fashion using localizable features with intrinsic orientation. All known objects are recognized, localized, and segmented simultaneously. The method is robust and efficient.

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Cite

Text

Prasdny. "Similitude-Invariant Pattern Recognition Using Parallel Distributed Processing." AAAI Conference on Artificial Intelligence, 1987.

Markdown

[Prasdny. "Similitude-Invariant Pattern Recognition Using Parallel Distributed Processing." AAAI Conference on Artificial Intelligence, 1987.](https://mlanthology.org/aaai/1987/prasdny1987aaai-similitude/)

BibTeX

@inproceedings{prasdny1987aaai-similitude,
  title     = {{Similitude-Invariant Pattern Recognition Using Parallel Distributed Processing}},
  author    = {Prasdny, K.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1987},
  pages     = {728-732},
  url       = {https://mlanthology.org/aaai/1987/prasdny1987aaai-similitude/}
}