Accelerating arrays of linear-supp

This logo detection system uses a large number of classifiers to capture the variety of appearances exhibited by the logos of this world under a range of viewing conditions (i.e. different view points and presence of occlusion). Each classifier is trained to detect instances of a specific part of a specific logo. Given an image, each detected part instance is used to generate a hypothesis on the extent of the full logo.