Asymmetric kernel method and its application to Fisher´s discriminant

In this paper, we propose the asymmetric kernel method. Furthermore, we apply it to Fisher´s discriminant and provide an kernel Fisher´s discriminant with variable kernel parameters. We also provide the experimental result of the existing and the new kernel Fisher´s discriminants by using several standard datasets and show the advantage of our method