It is shown that this effect, known as the Hughes paradox, arises from improper comparisons of statistically incomparable models. A formalization of the notion ...

This work analytically study the peaking phenomenon in the context of linear discriminant analysis in the multivariate Gaussian model under the assumption ...

The peaking phenomenon of the Bayes recognition accuracy of pattern classifiers with unknown underlying statistics is addressed and it is shown that this ...

Van Campenhout, Jan. 1978. “On the Peaking of the Hughes Mean Recognition Accuracy : The Resolution of an Apparent Paradox.” IEEE TRANSACTIONS ON SYSTEMS MAN ...

Jan M. Van Campenhout : On the Peaking of the Hughes Mean Recognition Accuracy: The Resolution of an Apparent Paradox. IEEE Trans. Syst. Man Cybern.

ON THE PEAKING OF THE HUGHES MEAN RECOGNITION ACCURACY: THE RESOLUTION OF AN APPARENT PARADOX. Author: VAN CAMPENHOUT JM STANFORD UNIV., INF.

It is shown that this effect, known as the Hughes paradox, arises from improper comparisons of statistically incomparable models. A formalization of the notion ...

Mar 18, 2013 · The peaking paradox was heavily discussed in pattern recognition after a general mathematical analysis of the phenomenon was published by Hughes in 1968.

On the peaking of the Hughes mean recognition accuracy: the resolution of an apparent paradox. IEEE Trans. Syst. Man Cybernet. (1978). S. John. On some ...

ON THE PEAKING OF THE HUGHES MEAN RECOGNITION ACCURACY: THE RESOLUTION OF AN APPARENT PARADOX. Author: VAN CAMPENHOUT JM INF. SYST.