Kenneth E. Barner

Inductive Conformal Predictor for Sparse Coding Classifiers: Applications to Image Classification

Conformal prediction uses the degree of strangeness (nonconformity) of new data instances to determine the confidence values of new predictions. We propose an inductive conformal predictor for sparse coding classifiers, referred to as ICP-SCC. Our contribution is twofold: first, we present two nonco…