Cascading classifier

A machine learning architecture that applies progressively more computationally expensive analysis stages, with each stage filtering out easy-to-classify cases so that only ambiguous instances proceed to deeper analysis. In accessibility applications, cascading classifiers enable computationally intensive features like sign language detection or image description to be deployed at web scale by reserving detailed processing for cases where fast, lightweight classifiers cannot make confident decisions.