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Author : Alexander G. Ramm
Publisher :
ISBN 13 :
Total Pages : 273 pages
Book Rating : 4.:/5 (61 download)
Download or read book Random Fields Estimation Theory written by Alexander G. Ramm and published by . This book was released on 2002 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alexander G. Ramm
Publisher : World Scientific
ISBN 13 : 9812565361
Total Pages : 390 pages
Book Rating : 4.8/5 (125 download)
Download or read book Random Fields Estimation written by Alexander G. Ramm and published by World Scientific. This book was released on 2005 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a novel theory of random fields estimation of Wiener type, developed originally by the author and presented here. No assumption about the Gaussian or Markovian nature of the fields are made. The theory, constructed entirely within the framework of covariance theory, is based on a detailed analytical study of a new class of multidimensional integral equations basic in estimation theory.This book is suitable for graduate courses in random fields estimation. It can also be used in courses in functional analysis, numerical analysis, integral equations, and scattering theory.
Author : Alexander G. Ramm
Publisher :
ISBN 13 : 9780608052397
Total Pages : 282 pages
Book Rating : 4.0/5 (523 download)
Download or read book Random Fields Estimation Theory written by Alexander G. Ramm and published by . This book was released on 1990 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Barbara Bajusz Lawton
Publisher :
ISBN 13 :
Total Pages : 362 pages
Book Rating : 4.:/5 (18 download)
Download or read book Mixtures of Random Fields written by Barbara Bajusz Lawton and published by . This book was released on 1985 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Stan Z. Li
Publisher : Springer Science & Business Media
ISBN 13 : 1848002793
Total Pages : 372 pages
Book Rating : 4.8/5 (48 download)
Download or read book Markov Random Field Modeling in Image Analysis written by Stan Z. Li and published by Springer Science & Business Media. This book was released on 2009-04-03 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This third edition includes the most recent advances and has new and expanded sections on topics such as: Bayesian Network; Discriminative Random Fields; Strong Random Fields; Spatial-Temporal Models; Learning MRF for Classification. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas.
Author : Dionissios T. Hristopulos
Publisher : Springer Nature
ISBN 13 : 9402419187
Total Pages : 884 pages
Book Rating : 4.4/5 (24 download)
Download or read book Random Fields for Spatial Data Modeling written by Dionissios T. Hristopulos and published by Springer Nature. This book was released on 2020-02-17 with total page 884 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an inter-disciplinary introduction to the theory of random fields and its applications. Spatial models and spatial data analysis are integral parts of many scientific and engineering disciplines. Random fields provide a general theoretical framework for the development of spatial models and their applications in data analysis. The contents of the book include topics from classical statistics and random field theory (regression models, Gaussian random fields, stationarity, correlation functions) spatial statistics (variogram estimation, model inference, kriging-based prediction) and statistical physics (fractals, Ising model, simulated annealing, maximum entropy, functional integral representations, perturbation and variational methods). The book also explores links between random fields, Gaussian processes and neural networks used in machine learning. Connections with applied mathematics are highlighted by means of models based on stochastic partial differential equations. An interlude on autoregressive time series provides useful lower-dimensional analogies and a connection with the classical linear harmonic oscillator. Other chapters focus on non-Gaussian random fields and stochastic simulation methods. The book also presents results based on the author’s research on Spartan random fields that were inspired by statistical field theories originating in physics. The equivalence of the one-dimensional Spartan random field model with the classical, linear, damped harmonic oscillator driven by white noise is highlighted. Ideas with potentially significant computational gains for the processing of big spatial data are presented and discussed. The final chapter concludes with a description of the Karhunen-Loève expansion of the Spartan model. The book will appeal to engineers, physicists, and geoscientists whose research involves spatial models or spatial data analysis. Anyone with background in probability and statistics can read at least parts of the book. Some chapters will be easier to understand by readers familiar with differential equations and Fourier transforms.
Author : Henri-Pierre Boissières
Publisher :
ISBN 13 :
Total Pages : 374 pages
Book Rating : 4.:/5 (261 download)
Download or read book Estimation of the Correlation Structure of Random Fields written by Henri-Pierre Boissières and published by . This book was released on 1992 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sanjoy K. Mitter
Publisher :
ISBN 13 :
Total Pages : 22 pages
Book Rating : 4.:/5 (368 download)
Download or read book Modelling and Estimation for Random Fields written by Sanjoy K. Mitter and published by . This book was released on 1992 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : S.Z. Li
Publisher : Springer Science & Business Media
ISBN 13 : 4431669337
Total Pages : 274 pages
Book Rating : 4.4/5 (316 download)
Download or read book Markov Random Field Modeling in Computer Vision written by S.Z. Li and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov random field (MRF) modeling provides a basis for the characterization of contextual constraints on visual interpretation and enables us to develop optimal vision algorithms systematically based on sound principles. This book presents a comprehensive study on using MRFs to solve computer vision problems, covering the following parts essential to the subject: introduction to fundamental theories, formulations of various vision models in the MRF framework, MRF parameter estimation, and optimization algorithms. Various MRF vision models are presented in a unified form, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This book is an excellent reference for researchers working in computer vision, image processing, pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in the subject.
Author : André François Cabannes
Publisher :
ISBN 13 :
Total Pages : 272 pages
Book Rating : 4.F/5 ( download)
Download or read book Estimation of Random Fields from Network Observations written by André François Cabannes and published by . This book was released on 1979 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mikhail P. Moklyachuk
Publisher :
ISBN 13 : 9781536132441
Total Pages : 0 pages
Book Rating : 4.1/5 (324 download)
Download or read book Estimates of Periodically Correlated Isotropic Random Fields written by Mikhail P. Moklyachuk and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose results of the investigation of the problem of the mean square optimal estimation of linear functionals which depend on the unknown values of periodically correlated isotropic random fields. Estimates are based on observations of the fields with a noise. Formulas for computing the value of the mean-square errors and the spectral characteristics of the optimal linear estimates of functionals are derived in the case of spectral certainty, where the spectral densities of the fields are exactly known. Formulas that determine the least favorable spectral densities and the minimax-robust spectral characteristics of the optimal estimates of functionals are proposed in the case of spectral uncertainty, where the spectral densities are not exactly known while some sets of admissible spectral densities are specified.
Author : Murray Rosenblatt
Publisher : Springer Science & Business Media
ISBN 13 : 1461251567
Total Pages : 253 pages
Book Rating : 4.4/5 (612 download)
Download or read book Stationary Sequences and Random Fields written by Murray Rosenblatt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has a dual purpose. One of these is to present material which selec tively will be appropriate for a quarter or semester course in time series analysis and which will cover both the finite parameter and spectral approach. The second object is the presentation of topics of current research interest and some open questions. I mention these now. In particular, there is a discussion in Chapter III of the types of limit theorems that will imply asymptotic nor mality for covariance estimates and smoothings of the periodogram. This dis cussion allows one to get results on the asymptotic distribution of finite para meter estimates that are broader than those usually given in the literature in Chapter IV. A derivation of the asymptotic distribution for spectral (second order) estimates is given under an assumption of strong mixing in Chapter V. A discussion of higher order cumulant spectra and their large sample properties under appropriate moment conditions follows in Chapter VI. Probability density, conditional probability density and regression estimates are considered in Chapter VII under conditions of short range dependence. Chapter VIII deals with a number of topics. At first estimates for the structure function of a large class of non-Gaussian linear processes are constructed. One can determine much more about this structure or transfer function in the non-Gaussian case than one can for Gaussian processes. In particular, one can determine almost all the phase information.
Author : Guy Cohen
Publisher :
ISBN 13 :
Total Pages : 99 pages
Book Rating : 4.:/5 (234 download)
Download or read book Parameter Estimation of Random Fields written by Guy Cohen and published by . This book was released on 2003 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Estimation of Random Fields from Network Observations. Technical Report written by and published by . This book was released on 1979 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: When one has observed a random field Z at some points and recorded its values (network observations), a natural problem is to estimate Z at points where there are no observations. This dissertation deals first with this problem in an abstract setting, in m dimensions; later, it considers the estimation of a spatial two-dimensional random field. The problem then is one of constructing an estimated map of Z over a geographic area. For a given network of stations the quality of a map depends on the method of estimation. But for the given method of estimation the quality of a map depends on the choice of locations for the stations. This is the problem of network design. Both the study of methods of estimation and the problem of network design are addressed. 16 figures. (RWR).
Author : Amir Dembo
Publisher :
ISBN 13 :
Total Pages : 23 pages
Book Rating : 4.:/5 (195 download)
Download or read book Maximum A-Posteriori Estimation of Random Fields written by Amir Dembo and published by . This book was released on 1988 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Johanna Frieda Stoeckler
Publisher :
ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.:/5 (232 download)
Download or read book A Theoretical Study of Estimation of Spherical Random Fields written by Johanna Frieda Stoeckler and published by . This book was released on 1999 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mark Kliger
Publisher :
ISBN 13 :
Total Pages : 113 pages
Book Rating : 4.:/5 (234 download)
Download or read book Estimation of Homogeneous Random Fields written by Mark Kliger and published by . This book was released on 2006 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt:
