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The use of Machine Learning techniques applied to visual data is described, within the context of an Alvey exemplar to detect cars in outdoor scenes. A Similarity-Based Learning scheme is employed, that uses segmented images containing cars, to produce rules which are subsequently able to label unknown images. The method is shown to be useful in developing a suitable Knowledge Representation for this vision problem.doi:10.5244/c.1.4 dblp:conf/bmvc/HutberS87 fatcat:qzp4arx6kbgs5nz2iadq5yl22q