Adaptation and learning priors in visual inference

Alex Kale
Alex Kale

VisXVision Workshop at IEEE VIS, 2019.

Cited by: 2|Views11

Abstract:

Users’ prior expectations are an important but understudied degree of freedom in visual inferences. We ask: To what extent are priors learned through visual experience? How do they impact behavior? Can we design visual analytics systems to manipulate users’ priors and calibrate their sensitivity to the signal in data? We connect theoretic...More

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