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

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書目名稱Geometric Science of Information影響因子(影響力)




書目名稱Geometric Science of Information影響因子(影響力)學(xué)科排名




書目名稱Geometric Science of Information網(wǎng)絡(luò)公開度




書目名稱Geometric Science of Information網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Geometric Science of Information被引頻次




書目名稱Geometric Science of Information被引頻次學(xué)科排名




書目名稱Geometric Science of Information年度引用




書目名稱Geometric Science of Information年度引用學(xué)科排名




書目名稱Geometric Science of Information讀者反饋




書目名稱Geometric Science of Information讀者反饋學(xué)科排名

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Isolate

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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使出神

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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