Search Results for author: Jung Hun Oh

Found 2 papers, 0 papers with code

Optimal Transport for Kernel Gaussian Mixture Models

no code implementations28 Oct 2023 Jung Hun Oh, Rena Elkin, Anish Kumar Simhal, Jiening Zhu, Joseph O Deasy, Allen Tannenbaum

The Wasserstein distance from optimal mass transport (OMT) is a powerful mathematical tool with numerous applications that provides a natural measure of the distance between two probability distributions.

Kernel Wasserstein Distance

no code implementations22 May 2019 Jung Hun Oh, Maryam Pouryahya, Aditi Iyer, Aditya P. Apte, Allen Tannenbaum, Joseph O. Deasy

The Wasserstein distance is a powerful metric based on the theory of optimal transport.

Clustering

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