A random projection ensemble for quadratic discriminant analysis gives a fast classifier that is provably perfectly accurate in ultrahigh dimensions when the Kullback-Leibler separation between classes grows linearly with dimension.
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Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections
A random projection ensemble for quadratic discriminant analysis gives a fast classifier that is provably perfectly accurate in ultrahigh dimensions when the Kullback-Leibler separation between classes grows linearly with dimension.