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Article

Extreme Value Theory for Modeling Category Decision Boundaries in Visual Recognition

2025-09-12

Abstract excerpt

Several possibilities exist for modeling decision boundaries in category learning, with varying degrees of human fidelity. This paper finds evidence for preferentially focusing representational resources on the extremes of the distribution of visual inputs in a generative model as an alternative to the central tendency models that are commonly used for prototypes and exemplars. The notion of treating extrema near...

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Literature Corpus work
0e6710ea-eb57-50bf-bca3-0ac1a329ff80
DOI
10.1101/2025.09.08.673121
Open publication

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Extreme Value Theory for Modeling Category Decision Boundaries in Visual RecognitionDOI 10.1101/2025.09.08.673121
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