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Issue No.11 - November (1997 vol.19)
pp: 1284-1288
ABSTRACT
<p><b>Abstract</b>—We consider how machine learning can be used to help solve the problem of identifying objects or structures composed of parts in complex scenes. We first discuss a conditional rule generation technique (CRG) that is designed to describe structures using part attributes and their relations. We then show how the resultant rules can be used for region labeling and examine constraint propagation techniques for improving rule-based object classification.</p>
INDEX TERMS
Conditional rule generation, machine learning, object recognition, scene understanding, visual learning.
CITATION
Walter F. Bischof, Terry Caelli, "Scene Understanding by Rule Evaluation", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.19, no. 11, pp. 1284-1288, November 1997, doi:10.1109/34.632987
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