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Estimation of perceptual scales using ordinal embedding
We propose to use ordinal embedding methods from machine learning to estimate the scaling function from the relative judgments.
Comparison-Based Framework for Psychophysics: Lab versus Crowdsourcing
In this paper we study whether the use of comparison-based (ordinal) data, combined with machine learning algorithms, can boost the reliability of crowdsourcing studies for psychophysics, such that they can achieve performance close to a lab experiment.
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