Modeling second-order boundary perception: A machine learning approach
Fig 5
Normalized 1-D profiles of the average second-stage filter weights (30 bootstrapped re-samples).
Thick black lines are for the ideal observer, thin black dashed lines indicate confidence intervals (+/- 1.96 SEM). Colored lines indicate normalized profiles for individual human observers. All models used AVG pooling. (a) Experiment 1-VAR (top) and Experiment 1-FIX (bottom). (b) Experiment 1-HFC (higher density of smaller micropatterns).