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Imbalanced distribution of positive (red) and negative (cyan) samples. The proposed approach is encouraged to select a subset of samples (cyan stars), which are representative of the entire negative pool (cyan stars plus cyan circles). Therefore, we can maintain the performance of classifier and shorten the training period.
