1. Nonlinear component analysis as a kernel eigenvalue problem;Schölkopf,1998
2. Input space versus feature space in kernel-based methods
3. [Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond];Schölkopf,2002
4. Probabilistic outputs for support vector machines and comparison to regularized likelihood methods;Platt;Advances in Large Margin Classifiers,2000