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Feature Extraction for Support Vector Machines Face Recognition

Jos? Ruiz-Pinales, Juan Jorge Acosta-Reyes, and Ren? Jaime-Rivas

In this paper, we present a feature set selection methodology for the recognition of upright faces by means of support vector machines. We perform face recognition in 3 stages: feature extraction, sub-sampling and classification. We employ a measure based on mutual information in order to select the feature sets. The probabilities required for the computation of the mutual information are estimated by using support vector machines.
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