A Support Vector Data Description Committee for Face Detection

Figure 1

This figure shows that if an SVM is trained on a training set in which the nonface training set does not represent the nonface class, some of nonface testing patterns that lie inside of the red boundary would be classified as face patterns (i.e., falling into the wrong side of the SVM’s OSH), resulting in a high false positive rate in the testing stage.