Sliced Wasserstein Kernel for Persistence Diagrams

@inproceedings{Carrire2017SlicedWK,
  title={Sliced Wasserstein Kernel for Persistence Diagrams},
  author={Mathieu Carri{\`e}re and Marco Cuturi and Steve Oudot},
  booktitle={ICML},
  year={2017}
}
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

Topics

Statistics

0204020172018
Citations per Year

Citation Velocity: 16

Averaging 16 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.