1. A method of processing content, comprising: transforming one or more classes of at least a subset of the content to facilitate dimensionality reduction; reducing dimensionality, in one or more computing devices, for the one or more classes by omitting those dimensions that have small eigenvectors on a relative basis; computing one or more respective mean vectors based on the at least a subset of the content and corresponding to the one or more classes having reduced dimensionality; and providing the one or more mean vectors to a classifier.