Null-space analysis of class-specific discriminant analysis yields new projection algorithms, but the key subspace alignment theorem is false, undermining the theoretical contribution.
On the optimal class representation in Linear Discriminant Analysis,
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Null Space Analysis for Class-Specific Discriminant Learning
Null-space analysis of class-specific discriminant analysis yields new projection algorithms, but the key subspace alignment theorem is false, undermining the theoretical contribution.