random field model
A hierarchical Markov random field model and multi-temperature annealing for parallel image classification
... A hierarchical Markov random field model and multi-temperature annealing for parallel image classification Zoltan Kato, Marc Berthod, Josiane Zerubia.. To cite this version: Zoltan Kato,[r] ...
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SPATIO-TEMPORAL SEGMENTATION AND REGIONS TRACKING OF HIGH DEFINITION VIDEO SEQUENCES USING A MARKOV RANDOM FIELD MODEL
... MARKOV RANDOM FIELD MODEL We express the markovian proprieties of a field by an explicit ...label field defined on the lat- tice S of sites s, in our case each site is associated with a ...
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Markov Random Field Model for Single Image Defogging
... MRF model for image defogging when the depth-map is assumed ...MRF model for depth inference is introduced based on the inference of the atmospheric white veil from the foggy ...
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Sensitivity analysis via Karhunen-Loève expansion of a random field model: estimation of Sobol' indices and experimental design
... an estimator of rst-order indices when the truncation level N of the expansion grows at suitable rate as a function of the number n of observations. The situation is much dierent in the present paper: we consider a ...
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Scene Segmentation via Low-dimensional Semantic Representations and Conditional Random Field
... Markov random field over image regions that encodes co-occurrence preferences over pairwise ...(PLSA) model and spatial random fields to improve the overall ...topic random field ...
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A completely random T-tessellation model and Gibbsian extensions
... Another model for random T-tessellations is the STIT tessellation introduced by Nagel and Weiß [18, 19]. We conjecture that the STIT model can be seen as a Gibbs T-tessellation. However the ...
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Infinite dimensional functional convergences in random balls model
... The condition ( 1.5 ) ensures that the mean volume of the random balls is finite and so is the expectation of M λ (μ) for every μ with a finite total variation, see [ 3 ]. On the contrary, β < 2d implies that the ...
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A new statistical model for random unit vectors
... 5 Data analysis To illustrate the methodology presented in this paper, we fit the proposed model to the data collected from the experiment given in Rancourt et al. (2000). The sample consists of n = 30 ...
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A conditional random field approach for audio-visual people diarization
... the audio biometric model) did not alter the initial speaker diarization. A closer look at the results show that AV cues help to refine clusters in the first CRF iterations mainly when talking heads are present ...
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Convex relaxation for IMSE optimal design in random-field models
... RF model and the IMSE ...homoscedastic model and a heteroscedastic model, both having the same integrated variance as the initial RF ...RF model with unknown trend as a RF model with ...
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Game on Random Environement, Mean-field Langevin System and Neural Networks
... The following Theorem 3.8 suggests that proving the existence of Nash equilibria and the uniqueness of the invariant measure, we can establish the equivalence between the invariant measure of (2.2) and one Nash ...
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Tree Crown Extraction using a Three State Markov Random Field
... Unité de recherche INRIA Sophia Antipolis 2004, route des Lucioles - BP 93 - 06902 Sophia Antipolis Cedex France Unité de recherche INRIA Futurs : Parc Club Orsay Université - ZAC des Vi[r] ...
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A Class of Random Field Memory Models for Mortality Forecasting
... illustrative model. In Figure 3 , we depicted two simulated random field from the model in Equation 6 ...a model with parameter β = ...the model is ignored in most mortality ...
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Persistence in the Moran Model with Random Switching
... Immigration represents interactions between the community studied and the external envi- ronment, its main role is to introduce new species or reintroduce a species and so to conserve biodiversity. One can also consider ...
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Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors
... Bayesian model and associated estimation procedure for multifractal parameters of multivariate ...statistical model that enabled the Bayesian estimation of multifractal parameters for a single image and ...
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Model for an indoor disturbed magnetic field
... this reason, they are randomly chosen between 0 and 2π, taking the values shown in table 1. 2 Presence of Magnetic Disturbances In the presence of transient magnetic disturbances, their time-dependent equations have to ...
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Distortion matrix approach for full-field imaging of random scattering media
... of random scattering ...purely random speckle regime, (ii ) how, in this regime, the far- field correlations of D enables discrimination between and correction for input and output aberrations over ...
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Anomalous acceleration/heating of charged particles in a random electric field
... aLPCE/CNRS, 3A av. Acceleration and heating of particles in a given electric field is considered by performing test particle type simulations. The purpose of this study is to [r] ...
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Approximate solutions of Lagrange multipliers for information-theoretic random field models
... . (4.18) From a computational standpoint, the sampling scheme requires N ×M 0 (with M 0 the number of iterations required to reach the stationary solution) realizations of a R-valued centered homogeneous Gaussian ...
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Activated Aging Dynamics and Effective Trap Model Description in the Random Energy Model
... cial in studies of more complex and rich models, for which our results provide guidelines. The natural next step is to study the p-spin model, that in the large p limit converges to the REM [18, 34]. In our study ...
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