2015
A Stable Multi-Scale Kernel for Topological Machine Learning
CVPR 2015poster
Topological data analysis offers a rich source of valuable information to study vision problems. Yet, so far we lack a theoretically sound connection to popular kernel-based learning techniques, such as kernel SVMs or kernel PCA. In this work, we establish such a connection by designing a multi-scal…