Here, the learning objective is to minimize: Interestingly, for the linear kernel, SVM-anchoring reduces to L2-SVM with C=1.
for the case of non-linear kernels, anchored and L2-SVM produce different results, as the anchoring is applied prior to the kernel expansion.