Gibbs random fields
On Gibbsianness of Random Fields
... of Gibbs random ...distributions, Gibbs random fields have been defined directly by represen- tation of their conditional distributions in terms of ...of Gibbs random ...
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Gibbs Fields with Multiple Pairwise Pixel Interactions for Texture Simulation and Segmentation
... Rapport de recherche n˚3202 — July 1997 — 68 pages Abstract: Modelling of spatially homogeneous and piecewise-homogeneous image tex- tures by novel Markov and non-Markov Gibbs random fields with ...
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Weakly dependent random fields with infinite interactions - paru sous le titre "A fixed point approach to model random fields"
... for Gibbs random fields). They extend on ARMA random fields which are special linear random fields (see [13] or ...of random fields with integer values is ...
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Characterization of Random Fields From NDT Measurements: a Two Stages Procedure
... combine random field modeling and Monte-Carlo simulations to estimate the bounds of the confidence interval numerically for target probabilities P ti,µ and P ti,σ for both the mean and the standard ...
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Topological expansion in isomorphisms with random walks for matrix valued fields
... the number of cycles formed by the borders of the ribbons. It can be also expressed in terms of genera of compact surfaces, orientable or not. The topological expansion has been introduced by ’t Hooft for the study of ...
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Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labelling
... The rest of this paper is organized as follows. In Section 2, we introduce our notations and restate more precisely the issues we wish to address, based on the example of a simple natura[r] ...
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Lipschitz-Killing curvatures of excursion sets for two-dimensional random fields
... In Section 3 we build a test to detect whether a given field is Gaussian or not based on the knowledge of two excursion sets corresponding to two different levels.. A variant of this test [r] ...
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A tightness criterion for random fields, with application to the Ising model
... 0). Random objects taking values in distribution spaces are of interest in several areas of probability ...with random coefficients are also described by random distributions resembling the Gaussian ...
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Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral image
... V. S IMULATION R ESULTS ON S YNTHETIC D ATA The first experiments evaluate the performance of the pro- posed algorithm for unmixing a 25 × 25 synthetic image with K = 3 different classes. The image contains R = 3 mixed ...
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Invariances of random fields paths, with applications in Gaussian Process Regression
... several fields including statistics and geostatistics [2], machine learning [3] and functional analysis ...intrinsic) random field, conditional ex- pectation of a Gaussian Process, or interpolator with ...
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Upper functions for $\mathbb{L}_{p}$-norms of Gaussian random fields
... There is however a great difference between Lemmas 3 and 4. One of the main efforts made in the proof of Theorem 2 is to reduce the considered problem to the study of supremum of gaussian random function defined on Q ...
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Statistical mechanics of the spherical hierarchical model with random fields
... Differently from the spherical model, it is commonly not possible to derive, within the non-mean-field region, analytical expressions for the critical exponents in the Ising counterpart of the present model. An exception ...
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Bayesian signal reconstruction, Markov random fields, and x-ray crystallography
... The examples included a tiny one-dimensional problem where it is computationally practical to compute the estimator performance statistics versus observa- tion noise [r] ...
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Stability of equilibria for a Hartree equation for random fields
... Keywords: Hartree Equation, Random Fields, Stability, Scattering. R´esum´e On consid`ere une ´equation de Hartree pour des champs al´eatoires d´ecrivant la dynamique d’un syst`eme infini de fermions. Sur ...
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Analysis of continuous spectral method for sampling stationary Gaussian random fields
... Gaussian random field over a regular grid ...stochastic fields. A simulation results are realized using pseudo-random data based on Monte- Carlo simulations to illustrate the theoretical bound of the ...
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Spatial mode estimation for functional random fields with application to bioturbation problem
... In this paper, we apply a spatial discrete tool to our dataset when in fact we deals with a spatial continuous random field. Actually, our approach is well appropriated because the considered regions are ...
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Optimal Neighborhoods Selection for AR-ARCH Random Fields with Application to Mortality
... For a closer examination, we use the forecasts provided by the out-of-sample analysis and derive the cor- responding remaining period life expectancies. Figure 7 shows 95% confidence intervals for life expectancies ...
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Dyson hierarchical quantum ferromagnetic Ising chain with pure or random transverse fields
... and two finite correlation length exponents ν random SRtyp = 1 and ν SRav random = 2 [13]. Note that the effects of disorder on the dissipative quantum chain mentioned above has been also much studied via ...
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High resolution SAR-image classification by Markov random fields and finite mixtures
... Markov random field (MRF) approach to Bayesian image classification with the dictionary-based stochastic expectation maximization (DSEM) amplitude histogram ...
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Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral image
... Markov random fields (MRF) are classically used to model these spatial correlations and partition the image into multiple classes with homogeneous ...hybrid Gibbs sampler is constructed to generate ...
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