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ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib T. M. Caelli and W. F. Bischof Machine Learning Paradigms for Pattern Recognition and Image Understanding ABSTRACT Visual processes, whether biological or artificial, are affected in important ways by adaptation and learning. This is true for all levels of visual functioning, from early visual encoding to complex pattern recognition. In the present paper, we discuss learning models of current interest in pattern recognition and in image understanding. Where possible, we indicate how these models may be useful in understanding human perceptual learning.

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