Learning Shape Descriptions
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Perception. Pages 922-924.
Abstract
We report on initial experiments with an implemented learning system whose inputs are images of two-dimensional shapes. The system first builds semantic network shape descriptions bascd on Brady's smoothed local symmetry representation. lt learns shape models from them using a modified version of Winston's ANALOGY progranl. The learning program uses only positive examples, and is capab le of learning disjunctive concepts. We discuss the learnability of shape descriptions.
Jonathan Connell, and Michael Brady. 1985. Learning Shape Descriptions. In Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85. IJCAI, 922–924. https://ijcai.org/proceedings/1985/186
Connell, J., & Brady, M. (1985). Learning Shape Descriptions. In Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 (pp. 922–924). IJCAI. https://ijcai.org/proceedings/1985/186
@inproceedings{ijcai1985p186,
title = {Learning Shape Descriptions},
author = {Connell, Jonathan and Brady, Michael},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {922--924},
year = {1985},
note = {Perception},
url = {https://ijcai.org/proceedings/1985/186},
}
TY - CPAPER TI - Learning Shape Descriptions AU - Connell, Jonathan AU - Brady, Michael T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 922 EP - 924 UR - https://ijcai.org/proceedings/1985/186 ER -Copied
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