Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions

Robert J. Durrant, Ata Kabán

Abstract: We examine the performance of an ensemble of randomly-projected Fisher Linear Discriminant classifiers, focusing on the case when there are fewer training observations than data dimensions. Our ens...