Results 51 to 60 of about 2,630,587 (176)

Fisher-Rao geometry of Dirichlet distributions

open access: yes, 2021
International audienceIn this paper, we study the geometry induced by the Fisher-Rao metric on the parameter space of Dirichlet distributions. We show that this space is geodesically complete and has everywhere negative sectional curvature.
Puechmorel, Stéphane   +6 more
core   +1 more source

Initial State Privacy of Nonlinear Systems on Riemannian Manifolds

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley   +1 more source

An Interpolating Distance between Optimal Transport and Fisher-Rao

open access: yes, 2010
International audienceThis paper defines a new transport metric over the space of non-negative measures. This metric interpolates between the quadratic Wasserstein and the Fisher-Rao metrics and generalizes optimal transport to measures with different ...
Chizat, Lenaic   +3 more
core   +2 more sources

Measurement of the production of neighbouring jets in lead–lead collisions at sNN=2.76 TeV with the ATLAS detector

open access: yesPhysics Letters B, 2015
This Letter presents measurements of correlated production of nearby jets in Pb+Pb collisions at sNN=2.76 TeV using the ATLAS detector at the Large Hadron Collider. The measurement was performed using 0.14 nb−1 of data recorded in 2011. The production of
G. Aad   +2881 more
doaj   +1 more source

A Fisher-Rao Metric for curves using the information in edges [PDF]

open access: yes, 2016
Two curves which are close together in an image are indistinguishable given a measurement, in that there is no compelling reason to associate the measurement with one curve rather than the other. This observation is made quantitative using the parametric
Maybank, Stephen J.
core   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

Measurement of inclusive jet charged-particle fragmentation functions in Pb+Pb collisions at sNN=2.76 TeV with the ATLAS detector

open access: yesPhysics Letters B, 2014
Measurements of charged-particle fragmentation functions of jets produced in ultra-relativistic nuclear collisions can provide insight into the modification of parton showers in the hot, dense medium created in the collisions.
G. Aad   +2875 more
doaj   +1 more source

Development and Evaluation of a Low‐Cost, Semi‐Automated Camera Trap for Surveying Bumble Bee Communities

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Camera traps are emerging as a useful tool for noninvasive insect monitoring; however, it remains unclear how to lure diurnal insects to traps, how to detect them upon arrival, and how camera‐based methods compare to conventional sampling. We developed a low‐cost, open‐source camera trap to monitor wild bumble bees in agricultural fields. We found that
Michael P. Getz   +4 more
wiley   +1 more source

GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs

open access: yesPhysical Review X, 2019
We present the results from three gravitational-wave searches for coalescing compact binaries with component masses above 1  M_{⊙} during the first and second observing runs of the advanced gravitational-wave detector network.
B. P. Abbott   +1148 more
doaj   +1 more source

Minimum mean square distance estimation of a subspace [PDF]

open access: yes, 2011
We consider the problem of subspace estimation in a Bayesian setting. Since we are operating in the Grassmann manifold, the usual approach which consists of minimizing the mean square error (MSE) between the true subspace U and its estimate U may not be ...
Jean-Yves Tourneret   +5 more
core   +1 more source

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