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

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书目名称Geometric Science of Information
副标题Third International
编辑Frank Nielsen,Frédéric Barbaresco
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Geometric Science of Information; Third International  Frank Nielsen,Frédéric Barbaresco Conference proceedings 2017 Springer International
描述.This book constitutes the refereed proceedings of the ThirdInternational Conference on Geometric Science of Information, GSI 2017,held in Paris, France, 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 processing; statistical manifold and hessian information geometry; monotone embedding in information geometry; information structure in neuroscience; geometric robotics and tracking; geometric mechanics and robotics; stochastic geometric mechanics and Lie group thermodynamics; probability on Riemannian manifolds; divergence geometry; non-parametric information geometry; optimization on manifold; computational information geometry; probability density estimation; session geometry of tensor-valued data; geodesic methods with constraints; applications of distance geometry..
出版日期Conference proceedings 2017
关键词probability; Artificial Intelligence; signal processing; numerical methods; image processing; probability
版次1
doihttps://doi.org/10.1007/978-3-319-68445-1
isbn_softcover978-3-319-68444-4
isbn_ebook978-3-319-68445-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Conference proceedings 2017ian manifolds; divergence geometry; non-parametric information geometry; optimization on manifold; computational information geometry; probability density estimation; session geometry of tensor-valued data; geodesic methods with constraints; applications of distance geometry..
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Brian Fahy,Veronica Walker Vadilloize likelihoods with respect to the usual Lebesgue measure of the data space, and (2) to bound the likelihood when its exact value is unattainable. We provide practical algorithms for these ideas and illustrate their use on synthetic data, images of digits and faces, as well as signals extracted fro
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Sample-Limited , Barycentric Subspace Analysis on Constant Curvature Spaces., implicitly defined as the locus of points which are weighted means of . reference points [., .]. Barycentric subspaces can naturally be nested and allow the construction of inductive forward or backward nested subspaces approximating data points. We can also consider the whole hierarchy of embedd
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