A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis
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This paper uses sample data to study the problem of comparing populations on finite-dimensional parallelizable Riemannian manifolds and more general trivial vector bundles. Utilizing triviality, our framework represents populations as mixtures of Gaussians on ... ...
