Efficient Multidimensional Pattern Recognition in Kernel Tensor Subspaces

In this paper we discuss algorithmically efficient methods of multidimensional patter recognition in kernel tensor subspaces. The kernel principal component analysis, which originally operates only on vector data, is joined with the tensor chordal kernel