Results 21 to 30 of about 62,953 (258)
Smooth Metric Adjusted Skew Information Rates [PDF]
Quantum, 2023 Metric adjusted skew information, induced from quantum Fisher information, is a well-known family of resource measures in the resource theory of asymmetry.
Koji Yamaguchi, Hiroyasu Tajima
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Optical flow estimation using the Fisher–Rao metric [PDF]
Neuromorphic Computing and Engineering, 2021 Abstract The optical flow in an event camera is estimated using measurements in the address event representation (AER). Each measurement consists of a pixel address and the time at which a change in the pixel value equalled a given fixed threshold.
Stephen J. Maybank +3 more
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The Volume of Two-Qubit States by Information Geometry
Entropy, 2018 Using the information geometry approach, we determine the volume of the set of two-qubit states with maximally disordered subsystems. Particular attention is devoted to the behavior of the volume of sub-manifolds of separable and entangled states with ...
Milajiguli Rexiti +2 more
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The uniqueness of the Fisher metric as information metric [PDF]
Annals of the Institute of Statistical Mathematics, 2016 v.4. 18 p. Minor changes in exposition.
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F-Geometry and Amari’s α-Geometry on a Statistical Manifold
Entropy, 2014 In this paper, we introduce a geometry called F-geometry on a statistical manifold S using an embedding F of S into the space RX of random variables. Amari’s α-geometry is a special case of F-geometry.
Harsha K. V. +1 more
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Some related fixed point theorems for multivalued mappings on two metric spaces
Karpatsʹkì Matematičnì Publìkacìï, 2020 The definition of related mappings was introduced by Fisher in 1981. He proved some theorems about the existence of fixed points of single valued mappings defined on two complete metric spaces and relations between these mappings.
Ö. Biçer +3 more
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Measurement Cost of Metric-Aware Variational Quantum Algorithms
PRX Quantum, 2021 We consider metric-aware quantum algorithms that use a quantum computer to efficiently estimate both a matrix and a vector object. For example, the recently introduced quantum natural gradient approach uses the Fisher matrix as a metric tensor to correct
Barnaby van Straaten, Bálint Koczor
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Clustering Financial Return Distributions Using the Fisher Information Metric
Entropy, 2019 Information geometry provides a correspondence between differential geometry and statistics through the Fisher information matrix. In particular, given two models from the same parametric family of distributions, one can define the distance between these
Stephen Taylor
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Frontiers in Neuroscience, 2020 Metric learning is a class of efficient algorithms for EEG signal classification problem. Usually, metric learning method deals with EEG signals in the single view space. To exploit the diversity and complementariness of different feature representations,
Jing Xue, Xiaoqing Gu, Tongguang Ni
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Common fixed point theorems of contractive-type mappings
International Journal of Mathematics and Mathematical Sciences, 2004 Using the concept of D-metric we prove some common fixed point theorems for generalized contractive mappings on a complete D-metric space. Our results extend, improve, and unify results of Fisher and Ćirić.
Hee Soo Park, Jeong Sheok Ume
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