In this paper, a new method for nonlinear class-specific data projection is proposed for verification problems. We apply a hierarchical process formed by multiple nonlinear class-specific data projection layers in order to determine data representations in multiple subspaces enhancing class discrimination. We evaluate the proposed method on four publicly available facial image datasets and compare its performance with related methods and show its effectiveness.
['Alexandros Iosifidis', 'Moncef Gabbouj']
Hierarchical class-specific kernel discriminant analysis for face verification