Sliced Wasserstein Kernel for Persistence Diagrams

  title={Sliced Wasserstein Kernel for Persistence Diagrams},
  author={Mathieu Carri{\`e}re and Marco Cuturi and Steve Oudot},
Persistence diagrams play a key role in topological data analysis (TDA), in which they are routinely used to describe topological properties of complicated shapes. persistence diagrams enjoy strong stability properties and have proven their utility in various learning contexts. They do not, however, live in a space naturally endowed with a Hilbert structure… CONTINUE READING



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