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Titlebook: Geometric Science of Information; Third International Frank Nielsen,Frédéric Barbaresco Conference proceedings 2017 Springer International

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Firoz Miyanji MD,Stefan Parent MD using a canonical decomposition of a path in the associated principal bundle. We consider the particular case of elastic metrics and show simulations for open curves in the plane, the hyperbolic plane and the sphere.
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Bootstrapping Descriptors for Non-Euclidean Dataootstrap that has proven to be a very successful tool to extract inferential information from small samples. In this communication we review asymptotics for descriptors of manifold valued data and study a non-parametric bootstrap test that aims at a high power, also under the alternative.
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Conference proceedings 2017ce, in November 2017...The 101 full papers presented were carefully reviewed and selected from 113 submissions and are organized into the following subjects: .statistics on non-linear data; shape space; optimal transport and applications: image processing; optimal transport and applications: signal
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Legal Liabilities in Clinical Trials rate of convergence. This approach is shown to be appropriate for the statistical analysis of discrete or absolutely continuous random measures. In this setting, we propose an efficient minimization algorithm based on accelerated gradient descent for the computation of regularized Wasserstein barycenters.
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Three Perspectives on a Projectters of the objective functions further illustrates the role of optimal transport maps in this iterative approach. In this context we refer to the objective function as misfit. A realistic numerical example is presented.
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