Angle 2DPCA: A New Formulation for 2DPCA.

2-D principal component analysis (2DPCA), which employs squared F-norm as the distance metric, has been widely used in dimensionality reduction for data representation and classification. It, however, is commonly known that squared F-norm is very sensitivity to outliers. To handle this problem, we present a novel formulation for 2DPCA, namely Angle-2DPCA. It employs F-norm as the distance metric a...