Multilabel Fisher discriminants exhibit objective equivalence under total scatter normalization, with near-minimax optimal finite-sample subspace estimation rates under sub-Gaussian noise.
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On the Spectral Structure and Objective Equivalence of Orthogonal Multilabel Fisher Discriminants
Multilabel Fisher discriminants exhibit objective equivalence under total scatter normalization, with near-minimax optimal finite-sample subspace estimation rates under sub-Gaussian noise.