Sliced Wasserstein Kernels for Probability Distributions

Abstract

A new family of positive definite kernels are defined based on the mathematics of optimal mass transportation. The performance of the presented kernel is evaluated in various machine learning applications including classification and clustering.

Publication
Computer Vision and Pattern Recognition 2016