nLab Stefan Huber

• personal page

Selected writings

On topological machine learning via kernel methods applied to persistence diagrams:

• Jan Reininghaus, Stefan Huber, Ulrich Bauer, Roland Kwitt, A Stable Multi-Scale Kernel for Topological Machine Learning, Proc. 2015 IEEE Conf. Comp. Vision & Pat. Rec. (CVPR 2015) 4741-4748 $[$arXiv:1412.6821$]$

• Roland Kwitt, Stefan Huber, Marc Niethammer, Weili Lin, Ulrich Bauer, Statistical Topological Data Analysis – A Kernel Perspective, in: Advances in Neural Information Processing Systems (NIPS 2015) $[$ISBN:9781510825024, doi:10.5555/2969442.2969582$]$

• Stefan Huber, Topological machine learning (webpage)

On persistent homology in practical (topological) data analysis:

• Stefan Huber, Persistent Homology in Data Science In: Data Science – Analytics and Applications Springer (2021) $[$doi:10.1007/978-3-658-32182-6_13, pdf$]$

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