Adaptive Boosting

A machine learning ensemble method that combines multiple weak classifiers to create a strong classifier, with each successive classifier focusing on the examples that previous classifiers misclassified. In computer vision and accessibility applications, AdaBoost is widely used for real-time face detection (notably in the Viola-Jones framework) and has been incorporated into wearable assistive devices that detect and recognize faces to help people who are blind identify individuals in their surroundings.