The cascade classifier consists of stages, where each stage is an ensemble of weak learners. The weak learners are simple classifiers called decision stumps. Each stage is trained using a technique called boosting.
Here's the link:
[Cascade Classification](http://docs.opencv.org/modules/objdetect/doc/cascade_classification.html)
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