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Journal of Vision
How well do classification images characterize human observers' strategies in perceptual tasks? We show mathematically that from the classification image of a noisy linear observer, it is possible to recover the observer's absolute efficiency. If we could similarly predict human observers' performance from their classification images, this would suggest that the linear model that underlies use of the classification image method is adequate over the small range of stimuli typically encountereddoi:10.1167/5.2.5 pmid:15831074 fatcat:ryd2ixt4ybguvkj3vxl2lrgbfe