Scheduling IDK classifiers with arbitrary dependences to minimize the expected time to successful classification

This paper introduces and evaluates a general construct for trading off accuracy and overall execution duration in classification-based machine perception problems—namely, the generalized IDK classifier cascade . The aim is to select the optimal sequence of classifiers required to minimize the expec...

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