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Books on the topic 'Markov Random Field Model'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Li, S. Z. Markov random field modeling in computer vision. Springer-Verlag, 1995.

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2

Li, S. Z. Markov random field modeling in image analysis. 3rd ed. Springer, 2009.

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3

Peschanskiy, Aleksey. Semi-Markov models of prevention of unreliable single-channel service system with losses. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1870597.

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The monograph examines various maintenance strategies of a single-channel system with losses and unreliable recoverable service device under the assumption of a general type of random variables describing random processes occurring in the system. The apparatus for constructing models of the functioning of the system are semi-Markov processes with a measurable phase space of states and phase enlargement algorithms. Stationary probabilistic and economic indicators of the system are explicitly determined and the tasks of optimal frequency of maintenance of the device are solved. For researc

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4

Li, S. Z. Markov Random Field Modeling in Computer Vision. Springer Japan, 1995. http://dx.doi.org/10.1007/978-4-431-66933-3.

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5

Li, Stan Z. Markov Random Field Modeling in Image Analysis. Springer Japan, 2001. http://dx.doi.org/10.1007/978-4-431-67044-5.

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6

Korn, Christopher A. Markov random field textures and applications in image processing. Naval Postgraduate School, 1997.

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7

Rychkov, Slava. Lectures on the Random Field Ising Model. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42000-9.

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8

Zhou, Peifang. Application of Markov random field theory to image coding and motion estimation. National Library of Canada = Bibliothèque nationale du Canada, 1993.

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9

Newman, M. E. J. Monte Carlo study of the random-field Ising model. Cornell Theory Center, Cornell University, 1995.

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10

Yakimovich, Sergey, and Yuriy Efimov. Modeling and scientific research tools in the timber industry based on LabVIEW. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/1851518.

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The textbook describes the methods of modeling and modern theory of industrial experiment in relation to the timber industry: model design, test preparation, selection of measuring instruments and experiment planning, data processing methods and their analysis. For practical consolidation of the material, laboratory work on experimental studies of random processes of longitudinal sawing of wood based on LabVIEW and spectral analysis is presented. Meets the requirements of the federal state educational standards of higher education of the latest generation. For bachelors and masters in the fiel

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11

Li, Stan Z. Markov Random Field Modeling in Image Analysis (Computer Science Workbench). 2nd ed. Springer, 2001.

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12

Markov Random Field Modeling in Image Analysis. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-279-1.

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13

Markov Random Field Modeling in Computer Vision. Island Press, 1995.

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14

Li, Stan Z. Markov Random Field Modeling in Image Analysis. Springer London, Limited, 2013.

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15

Li, Stan Z. Markov Random Field Modeling in Image Analysis. Springer, 2014.

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16

Li, S. Z. Markov Random Field Modeling in Computer Vision. Springer London, Limited, 2012.

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17

Li, Stan Z. Z. Markov Random Field Modeling in Image Analysis. Springer, 2010.

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18

Markov Random Field Textures and Applications in Image Processing. Storming Media, 1997.

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19

Brémaud, Pierre. Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding. Springer International Publishing AG, 2017.

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20

Brémaud, Pierre. Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding. Springer, 2018.

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21

Bremaud, Pierre. Discrete Probability - Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding. Springer, 2017.

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22

Lectures on the Random Field Ising Model: From Parisi-Sourlas Supersymmetry to Dimensional Reduction. Springer, 2023.

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23

Shehadeh, Hayel. Monte Carlo studies of phase diagram and phase transitions of random, binary, SC, 3-D Ising model in magnetic field. 1989.

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24

Cobbina, Francis. Monte Carlo study of a 3-D random binary magnetic Ising system possessing nearest- and next-nearest-neighbor interactions with no external field. 1989.

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25

Cobbina, Francis. Monte Carlo study of a 3-D random binary magnetic Ising system possessing nearest- and next-nearest-neighbor interactions with no external field. 1989.

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26

Boudreau, Joseph F., and Eric S. Swanson. Quantum field theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0024.

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Markov chain Monte Carlo techniques are developed to compute properties of a variety of quantum field theories. The method is introduced with a simple scalar field theory and used to evaluate the particle spectrum and phase diagram for parity symmetry breaking. The technique of micorcanonical updating is introduced to increase efficiency. The important topic of gauge theory is then introduced via the gauged Z2 model. Development of the gauge theory formalism continues with Abelian gauge theory in two dimensions. The interaction between static charges is computed and compared to the exact resul

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27

Delsol, Laurent. Nonparametric Methods for α-Mixing Functional Random Variables. Редактори Frédéric Ferraty та Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.5.

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This article considers how functional kernel methods can be used to study α-mixing datasets. It first provides an overview of how prediction problems involving dependent functional datasets may arise from the study of time series, focusing on the standard discretized model and modelization that takes into account the functional nature of the evolution of the quantity to be studied over time. It then considers strong mixing conditions, with emphasis on the notion of α-mixing coefficients and α-mixing variables introduced by Rosenblatt (1956). It also describes some conditions for a Markov chain

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28

Horing, Norman J. Morgenstern. Random Phase Approximation Plasma Phenomenology, Semiclassical and Hydrodynamic Models; Electrodynamics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0010.

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Chapter 10 reviews both homogeneous and inhomogeneous quantum plasma dielectric response phenomenology starting with the RPA polarizability ring diagram in terms of thermal Green’s functions, also energy eigenfunctions. The homogeneous dynamic, non-local inverse dielectric screening functions (K) are exhibited for 3D, 2D, and 1D, encompassing the non-local plasmon spectra and static shielding (e.g. Friedel oscillations and Debye-Thomas-Fermi shielding). The role of a quantizing magnetic field in K is reviewed. Analytically simpler models are described: the semiclassical and classical limits an

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29

van Moerbeke, Pierre. Determinantal point processes. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.11.

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This article presents a list of algebraic, combinatorial, and analytic mechanisms that give rise to determinantal point processes. Determinantal point processes have been used in random matrix theory (RMT) since the early 1960s. As a separate class, determinantal processes were first used to model fermions in thermal equilibrium and the term ‘fermion’ point processes were adopted. The article first provides an overview of the generalities associated with determinantal point processes before discussing loop-free Markov chains, that is, the trajectories of the Markov chain do not pass through th

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30

Busemeyer, Jerome R., Zheng Wang, and Emmanuel Pothos. Quantum Models of Cognition and Decision. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.17.

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Quantum probability theory provides a new formalism for constructing probabilistic and dynamic systems of cognition and decision. The purpose of this chapter is to introduce psychologists to this fascinating theory. This chapter is organized into six sections. First, some of the basic psychological principles supporting a quantum approach to cognition and decision are summarized; second, some notations and definitions needed to understand quantum probability theory are presented; third, a comparison of quantum and classical probability theories is presented; fourth, quantum probability theory

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31

Bertola, Marco. Chain of matrices, loop equations, and topological recursion. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.16.

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This article considers the so-called loop equations satisfied by integrals over random matrices coupled in a chain as well as their recursive solution in the perturbative case when the matrices are Hermitian. Random matrices are used in fields such as the study of multi-orthogonal polynomials or the enumeration of discrete surfaces, both of which are based on the analysis of a matrix integral. However, this term can be confusing since the definition of a matrix integral in these two applications is not the same. The article discusses these two definitions, perturbative and non-perturbative, al

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32

Grenander, Ulf, and Michael I. Miller. Pattern Theory. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780198505709.001.0001.

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Pattern Theory provides a comprehensive and accessible overview of the modern challenges in signal, data, and pattern analysis in speech recognition, computational linguistics, image analysis and computer vision. Aimed at graduate students in biomedical engineering, mathematics, computer science, and electrical engineering with a good background in mathematics and probability, the text includes numerous exercises and an extensive bibliography. Additional resources including extended proofs, selected solutions and examples are available on a companion website. The book commences with a short ov

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33

Hogh-Olesen, Henrik. Summing Up the Aesthetic Impulse. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190927929.003.0010.

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In Chapter 9, the threads from the different investigations are gathered, and the evolutionary functions and conditions behind the aesthetic impulse are outlined in a synthesizing model. One of the main discussions in the aesthetic field concerns whether artistic behavior should be considered a biological adaptation in its own right and thus an innate behavioral repertoire with direct consequence to our survival and reproduction, which has been passed down the genetic line through evolutionary selection. Or should this behavior rather be considered a random by-product that may hold certain adv

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34

Johansen, Bruce, and Adebowale Akande, eds. Nationalism: Past as Prologue. Nova Science Publishers, Inc., 2021. http://dx.doi.org/10.52305/aief3847.

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Nationalism: Past as Prologue began as a single volume being compiled by Ad Akande, a scholar from South Africa, who proposed it to me as co-author about two years ago. The original idea was to examine how the damaging roots of nationalism have been corroding political systems around the world, and creating dangerous obstacles for necessary international cooperation. Since I (Bruce E. Johansen) has written profusely about climate change (global warming, a.k.a. infrared forcing), I suggested a concerted effort in that direction. This is a worldwide existential threat that affects every living t

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35

Ślusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.

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The quality of data collected in official spatial databases is crucial in making strategic decisions as well as in the implementation of planning and design works. Awareness of the level of the quality of these data is also important for individual users of official spatial data. The author presents methods and models of description and evaluation of the quality of spatial data collected in public registers. Data describing the space in the highest degree of detail, which are collected in three databases: land and buildings registry (EGiB), geodetic registry of the land infrastructure network

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