Linear representation of intra-class discriminant features for small-sample face recognition

The authors argue that the mean of discriminant features calculated across the samples of a class (intra-class samples) cannot perform well for the classification task. The main reason is that the mean feature ignores intra-class membership's different responses to their own class for a query sample. Meanwhile, they present that the discriminant features of a test sample can also be well-linear ap...