Search Results for author: Claudia Landi

Found 1 papers, 0 papers with code

A Kernel for Multi-Parameter Persistent Homology

no code implementations26 Sep 2018 René Corbet, Ulderico Fugacci, Michael Kerber, Claudia Landi, Bei Wang

Topological data analysis and its main method, persistent homology, provide a toolkit for computing topological information of high-dimensional and noisy data sets.

BIG-bench Machine Learning Topological Data Analysis

Cannot find the paper you are looking for? You can Submit a new open access paper.