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Réduction de dimension par un nouvel estimateur de la distance de patrick Fisher é l'aide des fonctions orthogonales

Abstract : Here, we intend to introduce new estimators of the Patrick Fisher distance and the Euclidian probabilistic dependence measure by using orthogonal series. Therefore non parametric multiclass dimension reduction could be easily generalized to the multivariate case reduction. The performance of the proposed estimates will be studied by simulations in the case of mixtures of non Gaussian multivariate distributions. Such estimators will be applied in Face recognition.
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Submitted on : Thursday, June 24, 2010 - 8:57:16 AM
Last modification on : Wednesday, October 28, 2020 - 12:48:02 PM
Long-term archiving on: : Monday, September 27, 2010 - 11:34:51 AM

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Faouzi Ghorbel, Wissal Drira. Réduction de dimension par un nouvel estimateur de la distance de patrick Fisher é l'aide des fonctions orthogonales. 42èmes Journées de Statistique, 2010, Marseille, France, France. ⟨inria-00494761⟩

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