Fig. 2:
(a) In the reduction-based feature processing algorithm, probability scores from each classifier are combined on a per-class basis before the final classification layer using min, max, or average functions. (b) In the aggregation-based feature processing algorithm, redundant probability scores from different classifiers are tagged as separate features.