A new algorithm minimizes the L1,2-norm ratio for robust LDA, with a convergence proof and experiments on synthetic plus nine real datasets.
Robust l1 principal component analysis and its bayesian vari- ational inference
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Robust Linear Discriminant Analysis Using Ratio Minimization of L1,2-Norms
A new algorithm minimizes the L1,2-norm ratio for robust LDA, with a convergence proof and experiments on synthetic plus nine real datasets.