Automatic generation of optimum classification cascades

In this paper, we present a novel technique to automatically generate optimum classification cascades. Given a powerful classifier S_F with satisfactory accuracy and a set of N classifiers, our algorithm builds the fastest cascade that achieves an accuracy not less than that of S_F. The algorithm is fully automatic and has a complexity of O(N₂) which means it is fast and scalable to large values of N.