2020
Multiparameter Persistence Image for Topological Machine Learning
NeurIPS 2020poster
In the last decade, there has been increasing interest in topological data analysis, a new methodology for using geometric structures in data for inference and learning. A central theme in the area is the idea of persistence, which in its most basic form studies how measures of shape change as a sca…