Boosting Methods in Machine Learning
Boosting is a general method for improving the accuracy of any given learning algorithm. A typical application of AdaBoost as one of the popular boosting algorithms is fast face detection by P. Viola and M. Jones, Viola–Jones object detection framework. There AdaBoost is used both to select good features (very simple rectangles) and to turn weak learners into a final strong classifier.
Read more about this topic: Boosting Methods For Object Categorization
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