Proceedings

Inferring Image Templates from Classification Decisions

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Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1446-1450.

Abstract

Assuming human image classification decisions are based on estimating the degree of match between a small number of stored internal templates and certain regions of the input images, we present an algorithm which infers observers classification templates from their classification decisions on a set of test images. The problem is formulated as learning prototypes from labeled data under an adjustable, prototype-specific elliptical metric. The matrix of the elliptical metric indicates the pixels that the template responds to. The model was applied to human psychophysical data collected in a simple image classification experiment.

Arnab Dhua, and Florin Cutzu. 2005. Inferring Image Templates from Classification Decisions. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1446–1450. https://ijcai.org/proceedings/2005/183
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