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Well, each LBP feature that was selected during training is used to create binary decision trees. In the default case, these are stumps (1 layer decisions) with a decision weight on the score calculated by the LBP feature. Combining several stumps/decision trees lead to a weak stage.
This is described in full detail in OpenCV 3 Blueprints, Chapter 5!
