Combining SVMS for face class modeling

We present a method for combining a number of Support Vector Machines trained independently in the eigenface space and we apply it to face class modeling. We first train several SVMs on subsets of some initial training set and then combine their expertise using various probabilistic combining rules. This approach is compared to a classical SVM classification as well as Multiple SVM classification[1].