face recognition and semi-supervised learning

When there is a large amount of unlabeledsamples available, these methods may outperform traditional supervised learning algorithms such as Support Vector Machinesand regression [Belkin et al., 2004]. However, in some applications such as face recognition, the unlabeled samples may not be available, thus these semi-supervised learning methods can not be applied.