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Dynamics and context dependence of visual category learning

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image of Spatial Vision
For more content, see Multisensory Research and Seeing and Perceiving.

Visual category learning by humans is observed within a paradigm of supervised learning. Mental representations for recognition are reconstructed from the observed data structures by fitting to them predicted classification data obtained from similarity-based models of recognition on the one hand and machine vision systems for image understanding on the other hand. These principles are illustrated with examples concerning the dynamics and the dependence on context of processes of category learning.

Affiliations: 1: Institute of Medical Psychology, University of Munich, Munich, Germanu

10.1163/156856800741234
/content/journals/10.1163/156856800741234
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/content/journals/10.1163/156856800741234
2000-11-01
2016-12-04

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