A Machine Learning Framework for Geodesics Under Spherical Wasserstein–Fisher–Rao Metric and Its Application for Weighted Sample Generation
Abstract Wasserstein–Fisher–Rao (WFR) distance is a family of metrics to gauge the
discrepancy of two Radon measures, which takes into account both transportation and …
discrepancy of two Radon measures, which takes into account both transportation and …
The quadratic Wasserstein metric with squaring scaling for seismic velocity inversion
The quadratic Wasserstein metric has shown its power in measuring the difference between
probability densities, which benefits optimization objective function with better convexity and …
probability densities, which benefits optimization objective function with better convexity and …
Square Root Normal Fields for Lipschitz Surfaces and the Wasserstein Fisher Rao Metric
The square root normal field (SRNF) framework is a method in the area of shape analysis
that defines a (pseudo) distance between unparametrized surfaces. For piecewise linear …
that defines a (pseudo) distance between unparametrized surfaces. For piecewise linear …