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These features from different modalities are complementary to each other. Then a two-stage integration scheme is proposed, which incorporates the probability weights of each classifier for action recognition. The proposed approach is evaluated on four publicly available human action databases: NJUST RGB-D Action, MSR-ActionPairs, MSR-DailyAct3D, and UTD-MHAD. 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