Learning the Kernel Matrix in Discriminant Analysis via Quadratically Constrained Quadratic Programming

The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kernel matrices in Regular