The LOCUS Model of Search and Its Use in Image Interpretation
Abstract
The Locus model of search is a non-backtracking, deterministic search technique in which a beam of near-miss alternatives around the best path are extended in parallel for graph searching problems. In this paper we formulate image interpretation as a giaph searching problem and show bow the Locus model provides a near-optimal minimal effort solution. The structure of the model is illustrated using a detailed example. The relationship of the present approach to earlier attempts at image interpretation are discussed.
Cite
Text
Rubin and Reddy. "The LOCUS Model of Search and Its Use in Image Interpretation." International Joint Conference on Artificial Intelligence, 1977.Markdown
[Rubin and Reddy. "The LOCUS Model of Search and Its Use in Image Interpretation." International Joint Conference on Artificial Intelligence, 1977.](https://mlanthology.org/ijcai/1977/rubin1977ijcai-locus/)BibTeX
@inproceedings{rubin1977ijcai-locus,
title = {{The LOCUS Model of Search and Its Use in Image Interpretation}},
author = {Rubin, Steven M. and Reddy, Raj},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1977},
pages = {590-595},
url = {https://mlanthology.org/ijcai/1977/rubin1977ijcai-locus/}
}