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Stochastic processes --- Ordered algebraic structures --- Bernoulli shifts --- Markov processes --- Analysis, Markov --- Chains, Markov --- Markoff processes --- Markov analysis --- Markov chains --- Markov models --- Models, Markov --- Processes, Markov --- Shifts, Bernoulli --- Ergodic theory --- Measure theory --- Transformations (Mathematics) --- Markov processes. --- Markov, Processus de --- Markov, Processus de.
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Computational complexity. --- Markov processes. --- Monte Carlo method.
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After recalling essentials of analysis - including functional analysis, convexity, distribution theory and interpolation theory - this book handles two topics in detail: Fourier analysis, with emphasis on positivity and also on some function spaces and multiplier theorems; and one-parameter operator semigroups with emphasis on Feller semigroups and Lp-sub-Markovian semigroups. In addition, Dirichlet forms are treated. The book is self-contained and offers new material originated by the author and his students. Sample Chapter(s)Introduction: Pseudo Differential Operators and Markov Processes
Fourier analysis. --- Pseudodifferential operators. --- Dirichlet forms. --- Markov processes. --- Analysis, Markov --- Chains, Markov --- Markoff processes --- Markov analysis --- Markov chains --- Markov models --- Models, Markov --- Processes, Markov --- Stochastic processes --- Forms, Dirichlet --- Forms (Mathematics) --- Operators, Pseudodifferential --- Pseudo-differential operators --- Operator theory --- Analysis, Fourier --- Mathematical analysis
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Hidden Markov models (HMMs) originally emerged in the domain of speech recognition. In recent years, they have attracted growing interest in the area of computer vision as well. This book is a collection of articles on new developments in the theory of HMMs and their application in computer vision. It addresses topics such as handwriting recognition, shape recognition, face and gesture recognition, tracking, and image database retrieval.This book is also published as a special issue of the International Journal of Pattern Recognition and Artificial Intelligence (February 2001).
Computer vision --- Optical pattern recognition --- Markov processes. --- Analysis, Markov --- Chains, Markov --- Markoff processes --- Markov analysis --- Markov chains --- Markov models --- Models, Markov --- Processes, Markov --- Stochastic processes --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Mathematical models.
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Banks and banking --- Consolidation and merger of corporations. --- Markov processes.
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Image processing --- Markov processes. --- Mathematical models. --- Digital techniques.
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Banks and banking --- Consolidation and merger of corporations. --- Markov processes.
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Algebre lineaire --- Calcul matriciel --- Calcul vectoriel --- Calcul differentiel --- Cryptographie --- Infographie --- Chaines de markov
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Climatology --- Climatic change --- data collection --- Data processing --- Dry season --- Wet season --- Chaines de markov --- Niger
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This book is the first one devoted to high-dimensional (or large-scale) diffusion stochastic processes (DSPs) with nonlinear coefficients. These processes are closely associated with nonlinear Ito's stochastic ordinary differential equations (ISODEs) and with the space-discretized versions of nonlinear Ito's stochastic partial integro-differential equations. The latter models include Ito's stochastic partial differential equations (ISPDEs). The book presents the new analytical treatment which can serve as the basis of a combined, analytical-numerical approach to greater computational efficie
Engineering --- Stochastic processes. --- Diffusion processes. --- Differential equations, Nonlinear. --- Nonlinear differential equations --- Nonlinear theories --- Markov processes --- Random processes --- Probabilities --- Mathematical models.
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