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Mathematical Progress in Expressive Image Synthesis I

This book presents revised versions of the best papers selected from the symposium Mathematical Progress in Expressive Image Synthesis;

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Mathematical Progress in Expressive Image Synthesis III

Progress in Expressive Image Synthesis (MEIS2015), was held in Fukuoka, Japan, September 25-27, 2015. The aim of the symposium was to;

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Image Synthesis

simply listed. This volume is also a unique handbook of mathematical formulae for image synthesis. The four first chapters of the book survey the;

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Mathematical Problems in Image Processing

discretize them. For the mathematical community, the book shows the contribution of mathematics to this domain, and highlights unsolved theoretical;

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Simulation and Synthesis in Medical Imaging

This book constitutes the refereed proceedings of the Second International Workshop on Simulation and Synthesis in Medical Imaging, held;

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Simulation and Synthesis in Medical Imaging

This book constitutes the refereed proceedings of the First International Workshop on Simulation and Synthesis in Medical Imaging, held;

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Biomedical Image Analysis

field. Mathematical and statistical topics are presented in a straightforward manner, enabling the reader to gain a deep understanding of the;

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Simulation and Synthesis in Medical Imaging

This book constitutes the refereed proceedings of the 6th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI;

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Simulation and Synthesis in Medical Imaging

This book constitutes the refereed proceedings of the 4th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI;

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Neural Networks; Mathematical Theory of Pattern Recognition; Pattern Recognition and Applications; Signals Analysis and Processing; Speech;

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Computer Graphics Through Key Mathematics

This book introduces the mathematical concepts that underpin computer graphics. It is written in an approachable way, without burdening;

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification;

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Mathematical Analysis and Applications

An authoritative text that presents the current problems, theories, and applications of mathematical analysis research Mathematical;

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Mathematical Foundations of Image Processing and Analysis, Volume 2

Mathematical Imaging is currently a rapidly growing field in applied mathematics, with an increasing need for theoretical mathematics;

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Nanofluids: Mathematical, Numerical, and Experimental Analysis

Nanofluids: Mathematical, Numerical and Experimental Analysis provides a combined treatment of the numerical and experimental aspects;

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Texture Analysis In Machine Vision

, biometric person authentication, scene analysis for robot navigation, texture synthesis for computer graphics and animation, and image coding;

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Belair

Art is packed with flexible ideas for developing early understanding and igniting curiosity in the E;...

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Mathematical Morphology in Image Processing

graduate-level students in image processing and mathematical morphology courses.;

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Statistics of Medical Imaging

), but also leads to an improved design of the technology (synthesis). Physical principles and mathematical procedures of medical imaging;

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London Mathematical Society Lecture Note Series

of analysis. In this volume are collected seven of his survey articles from Russian Mathematical Surveys on singularity theory, the area to which he;

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Neural Networks Theory

This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory;

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Foundations of Image Science

purpose. Approaching the subject within a well-defined theoretical and physical context, this landmark text presents the mathematical;

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Introduction to Digital Image Processing

in mathematical background earlier in their college education. With that in mind, Introduction to Digital Image Processing is simpler in terms;

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