Results 11 to 20 of about 2,630,587 (176)

A Comparison between Wasserstein Distance and a Distance Induced by Fisher-Rao Metric in Complex Shapes Clustering

open access: yesProceedings, 2017
Shape Analysis studies geometrical objects, as for example a flat fish in the plane or a human head in the space. The applications range from structural biology, computer vision, medical imaging to archaeology. We focus on the selection of an appropriate
Angela De Sanctis, Stefano A. Gattone
doaj   +2 more sources

A JKO Splitting Scheme for Kantorovich--Fisher--Rao Gradient Flows

open access: yes, 2017
International audienceIn this article we set up a splitting variant of the JKO scheme in order to handle gradient flows with respect to the Kantorovich-Fisher-Rao metric , recently introduced and defined on the space of positive Radon measure with ...
Léonard Monsaingeon   +3 more
core   +5 more sources

Curve Registration of Functional Data for Approximate Bayesian Computation

open access: yesStats, 2021
Approximate Bayesian computation is a likelihood-free inference method which relies on comparing model realisations to observed data with informative distance measures.
Anthony Ebert   +3 more
doaj   +1 more source

On Voronoi Diagrams on the Information-Geometric Cauchy Manifolds

open access: yesEntropy, 2020
We study the Voronoi diagrams of a finite set of Cauchy distributions and their dual complexes from the viewpoint of information geometry by considering the Fisher-Rao distance, the Kullback-Leibler divergence, the chi square divergence, and a flat ...
Frank Nielsen
doaj   +1 more source

Hellinger Information Matrix and Hellinger Priors

open access: yesEntropy, 2023
Hellinger information as a local characteristic of parametric distribution families was first introduced in 2011. It is related to the much older concept of the Hellinger distance between two points in a parametric set.
Arkady Shemyakin
doaj   +1 more source

Application of the Fisher-Rao metric to ellipse detection [PDF]

open access: yes, 2007
The parameter space for the ellipses in a two dimensional image is a five dimensional manifold, where each point of the manifold corresponds to an ellipse in the image. The parameter space becomes a Riemannian manifold under a Fisher-Rao metric, which is
Stephen J. Maybank, Maybank, Stephen J.
core   +1 more source

A Fisher-Rao metric for paracatadioptric images of lines [PDF]

open access: yes, 2012
In a central paracatadioptric imaging system a perspective camera takes an image of a scene reflected in a paraboloidal mirror. A 360° field of view is obtained, but the image is severely distorted.
Maybank, Stephen J.   +2 more
core   +1 more source

The Fisher-Rao metric for projective transformations of the line [PDF]

open access: yes, 2005
A conditional probability density function is defined for measurements arising from a projective transformation of the line. The conditional density is a member of a parameterised family of densities in which the parameter takes values in the three ...
Stephen J. Maybank, Maybank, Stephen J.
core   +1 more source

On the Geodesic Distance in Shapes K-means Clustering

open access: yesEntropy, 2018
In this paper, the problem of clustering rotationally invariant shapes is studied and a solution using Information Geometry tools is provided. Landmarks of a complex shape are defined as probability densities in a statistical manifold.
Stefano Antonio Gattone   +3 more
doaj   +1 more source

Matrix Algebraic Properties of the Fisher Information Matrix of Stationary Processes

open access: yesEntropy, 2014
In this survey paper, a summary of results which are to be found in a series of papers, is presented. The subject of interest is focused on matrix algebraic properties of the Fisher information matrix (FIM) of stationary processes.
André Klein
doaj   +1 more source

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