Supervised Quadratic Feature Analysis learns linear features by maximizing Fisher-Rao distances between Gaussian class conditionals, achieving competitive classification accuracy and best results with a Hellinger-distance variant.
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Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality Reduction
Supervised Quadratic Feature Analysis learns linear features by maximizing Fisher-Rao distances between Gaussian class conditionals, achieving competitive classification accuracy and best results with a Hellinger-distance variant.