Results 11 to 20 of about 59,568 (301)
A Deformed Exponential Statistical Manifold [PDF]
Entropy, 2019 Consider μ a probability measure and P μ the set of μ -equivalent strictly positive probability densities. To endow P μ with a structure of a C ∞ -Banach manifold we use the φ ...
Francisca Leidmar Josué Vieira +3 more
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Multisensor Estimation Fusion on Statistical Manifold [PDF]
Entropy, 2022 In the paper, we characterize local estimates from multiple distributed sensors as posterior probability densities, which are assumed to belong to a common parametric family.
Xiangbing Chen, Jie Zhou
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Mixture and Exponential Arcs on Generalized Statistical Manifold [PDF]
Entropy, 2018 In this paper, we investigate the mixture arc on generalized statistical manifolds. We ensure that the generalization of the mixture arc is well defined and we are able to provide a generalization of the open exponential arc and its properties.
Luiza H. F. de Andrade +3 more
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Domain Adaptation on the Statistical Manifold [PDF]
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014 In this paper, we tackle the problem of unsupervised domain adaptation for classification. In the unsupervised scenario where no labeled samples from the target domain are provided, a popular approach consists in transforming the data such that the source and target distributions become similar.
Mahsa Baktashmotlagh +3 more
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Biconnection gravity as a statistical manifold
Physical Review D, 2023 16 pages, no ...
Damianos Iosifidis +1 more
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Manifold learning in statistical tasks
Учёные записки Казанского университета: Серия Физико-математические науки, 2018 Many tasks of data analysis deal with high-dimensional data, and curse of dimensionality is an obstacle to the use of many methods for their solving.
A.V. Bernstein
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Massively parallel unsupervised single-particle cryo-EM data clustering via statistical manifold learning. [PDF]
PLoS ONE, 2017 Structural heterogeneity in single-particle cryo-electron microscopy (cryo-EM) data represents a major challenge for high-resolution structure determination.
Jiayi Wu +7 more
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Statistical exploration of the manifold hypothesis [PDF]
Journal of the Royal Statistical Society Series B: Statistical MethodologyAbstract The manifold hypothesis is a widely accepted tenet of machine learning which asserts that nominally high-dimensional data are in fact concentrated near a low-dimensional manifold, embedded in high-dimensional space. This phenomenon is observed empirically in many real-world situations, has led to development of a wide range ...
Nick Whiteley +2 more
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Almost cosympletic statistical manifolds
Quaestiones Mathematicae, 2019 15 pages and comments are welcome!
MURATHAN, CENGİZHAN +2 more
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On Almost Norden Statistical Manifolds
Entropy, 2022 We consider a statistical connection ∇ on an almost complex manifold with (pseudo-) Riemannian metric, in particular the Norden metric. We investigate almost Norden (statistical) manifolds under the condition that the almost complex structure J is ...
Leila Samereh +2 more
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