We propose a method that uses off-the-shelf binary classifiers and combines them in real-time to achieve quality, time, and cost charac-teristics that satisfy user-provided constraints; moreover, it shares inter-mediate computation (e.g., features, classifiers, kernels) between classes to reduce time and cost. An important distinction between this approach and others is that the primary focus of
... [Show full abstract] this work is on improving flexibil-ity, operation on a wide range of operating points, as opposed to quality or speed; however, we show that the proposed approach achieves perfor-mance comparable to the state-of-the-art on the scene recognition task for the SUN397[1] where we attain a mean AUC of 0.9625 compared to 0.9573[1], 0.8426 [2], 0.9227[3], and 0.9343(based on [4]). Additionally, we show that human annotators can be naturally integrated into the approach to produce hybrid human/algorithmic classifiers.
