Residual Histogram Preference The residual histograms for each data point have quite significant features whose peaks correspond to the true models because hypotheses generated with random sampling tend to cluster around the true model, which was used by residual histogram analysis (RHA) [ 46 ] to find modes in the data set.
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Outlier Detection Based on Residual Histogram Preference for Geometric Multi-Model Fitting.
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