The analysis of human emotions plays a significant role in providing sufficient information about patients in monitoring their feelings for better management of their diseases.
Muhammad Hameed Siddiqi
doaj +1 more source
Sojourn times of Gaussian random fields [PDF]
This paper is concerned with the asymptotic analysis of sojourn times of random fields with continuous sample paths. Under a very general framework we show that there is an interesting relationship between tail asymptotics of sojourn times and that of ...
Hashorva, Enkelejd +3 more
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Least squares estimation of regression coefficients of singular random fields observed on a sphere [PDF]
We present some results on the rate of convergence to the normal law of the least square estimates of the regression coefficient of random fields with long range dependence observed on a ...
Anh, Vo +5 more
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Synchronization of dissipative dynamical systems driven by non-Gaussian Lévy noises [PDF]
Dynamical systems driven by Gaussian noises have been considered extensively in modeling, simulation, and theory. However, complex systems in engineering and science are often subject to non-Gaussian fluctuations or uncertainties.
Kloeden, Peter E. +3 more
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Concentration Inequalities for Functions of Gibbs Fields with Application to Diffraction and Random Gibbs Measures [PDF]
We derive useful general concentration inequalities for functions of Gibbs fields in the uniqueness regime. We also consider expectations of random Gibbs measures that depend on an additional disorder field, and prove concentration w.r.t.
Külske, Christof +2 more
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The risk of classification based on observations of anisotropic Gaussian random fields
There is not abstract.
Jūratė Šaltytė, Kęstutis Dučinskas
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SIMULATION OF LARGE-SCALE STRUCTURE OF UNIVERSE BY GAUSSIAN RANDOM FIELDS
Large-scale structure of Universe includes galaxy clusters connected by filaments. Voids occupy the rest of cosmic volume.The search of any dependencities in filament structure can give answer to more general questions about origin of structures in the ...
V. V. Voitsekhovskiy, A. V. Tugay
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Bayesian mapping of brain regions using compound Markov random field priors [PDF]
Human brain mapping, i.e. the detection of functional regions and their connections, has experienced enormous progress through the use of functional magnetic resonance imaging (fMRI).
Gössl, Christoff +2 more
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Beltrami fields exhibit knots and chaos almost surely
In this paper, we show that, with probability $1$ , a random Beltrami field exhibits chaotic regions that coexist with invariant tori of complicated topologies. The motivation to consider this question, which arises in the study of stationary Euler
Alberto Enciso +2 more
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Unsupervised Texture Segmentation using Active Contours and Local Distributions of Gaussian Markov Random Field Parameters [PDF]
In this paper, local distributions of low order Gaussian Markov Random Field (GMRF) model parameters are proposed as texture features for unsupervised texture segmentation.Instead of using model parameters as texture features, we exploit the variations ...
Mahmoodi, Sasan +3 more
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