The similarity between two points and the transformed feature space is an exponentially decaying function of the distance between the vectors and the original input space. $K(x, x') = e^{-\gamma||x - x'||^2}$

Using this kernel, the linear decision boundary in the feature space corresponds to a non-linear decision boundary in the original input space.