The LOCUS Model of Search and its Use in Image Interpretation
Proceedings of the Fifth International Joint Conference on Artificial Intelligence. Vision. Pages 590-594.
Abstract
The Locus model of search is a non-backtracking, deterministic search technique in which a beam of near-miss alternatives around the be st path <~r · e extended in par<~lle\ for graph searching problems .. In this paper we formulate image interpretation as a graph searching problem and show how 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.
@inproceedings{ijcai1977p135,
title = {The LOCUS Model of Search and its Use in Image Interpretation},
author = {Rubin, Steven M. and Reddy, Dabbala Rajagopal},
booktitle = {Proceedings of the Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-77}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Raj Reddy},
pages = {590--594},
year = {1977},
note = {Vision},
url = {https://ijcai.org/proceedings/1977/135},
}
TY - CPAPER TI - The LOCUS Model of Search and its Use in Image Interpretation AU - Rubin, Steven M. AU - Reddy, Dabbala Rajagopal T2 - Proceedings of the Fifth International Joint Conference on Artificial Intelligence, IJCAI-77 PB - International Joint Conferences on Artificial Intelligence PY - 1977 SP - 590 EP - 594 UR - https://ijcai.org/proceedings/1977/135 ER -Copied
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