Results 41 to 50 of about 47,039 (298)
Analogues of Non-Gibbsianness in Joint Measures of Disordered Mean Field Models [PDF]
, 2002 It is known that the joint measures on the product of spin-space and disorder space are very often non-Gibbsian measures, for lattice systems with quenched disorder, at low temperature.
Külske, Christof, Külske, Christof,
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Nonlinear Markov games on a finite state space (mean-field and binary interactions) [PDF]
, 2012 Managing large complex stochastic systems, including competitive interests, when one or several players can control the behavior of a large number of particles (agents, mechanisms, vehicles, subsidiaries, species, police units, etc), say Nk for a player ...
Kolokoltsov, V. N. (Vasiliĭ Nikitich)
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CT lung images segmentation using image processing and Markov random field [PDF]
, 2022 Introduction: In this study, the performance of computed tomography lung image segmentation using image processing and Markov Random Field was investigated. Before cancer segmentation and analysis, lung segmentation is an important initial process. Thus,
Saripan, M. Iqbal +3 more
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SAR-based change detection using hypothesis testing and Markov random field modelling [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 The objective of this study is to automatically detect changed areas caused by natural disasters from bi-temporal co-registered and calibrated TerraSAR-X data. The technique in this paper consists of two steps: Firstly, an automatic coarse detection step
W. Cao, S. Martinis
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Traffic state estimation through compressed sensing and Markov random field [PDF]
, 2016 This study focuses on information recovery from noisy traffic data and traffic state estimation. The main contributions of this paper are: i) a novel algorithm based on the compressed sensing theory is developed to recover traffic data with Gaussian ...
Zheng, Zuduo, Su, Dongcai
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IEEE Access, 2022 A learning-based image relighting framework is proposed for automatically changing the lighting conditions of facial images from one lighting source to another. Given only a 2D unseen facial testing image, the framework automatically infers the highlight
Ching-Ting Tu +2 more
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, 2022 S.297-310Prior models of image or scene structure are useful for dealing with "noise" and ambiguity that occur in many machine vision problems such as stereo, optical flow, denoising, superresolution, and surface reconstruction.
Roth, Stefan, Black, Michael
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A Bayesian Beta Markov Random Field Calibration of the Term Structure of Implied Risk Neutral Densities [PDF]
, 2014 We build on the derivative pricing calibration literature, and propose a more general calibration model for implied risk neutral densities. Our model allows for the joint calibration of a set of densities at different maturities and dates through a ...
Molina, German +12 more
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Improved adaptive Markov random field based super-resolution mapping for mangrove tree identification [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Traditionally, forest tree crowns are extracted using airborne or spaceborne hyper-/multi-spectral remotely sensed images or pansharpened images. However, these medium/low spatial resolution images suffer from the mixed pixel problem, and the cost to ...
H. Aghighi +3 more
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Rank-driven Markov processes [PDF]
, 2011 We study a class of Markovian systems of N elements taking values in [0,1] that evolve in discrete time t via randomized replacement rules based on the ranks of the elements.
Grinfeld, Michael +7 more
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