A linear feature extraction for multiclass classification problems based on class mean and covariance discriminant information

Abstract

A parametric linear feature extraction method is proposed for multiclass classification. The skeleton of the proposed method consists of two types of schemes that are complementary to each other with regard to the discriminant information used. The approximate pairwise accuracy criterion (aPAC) and the common-mean feature extraction (CMFE) are chosen to… (More)
DOI: 10.1109/TPAMI.2006.26

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