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Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging

Mathematical Imaging and Vision

Bearbeitet von Ke Chen, Carola-Bibiane Schönlieb, Xue-Cheng Tai, Laurent Younes …

Serien series Reference Module Computer Science and Engineering
This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as … Lesen Sie mehr

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This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as
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International Symposium on Mathematics, Quantum Theory, and Cryptography

Proceedings of MQC 2019

Bearbeitet von Tsuyoshi Takagi, Masato Wakayama, Keisuke Tanaka, Noboru Kunihiro, Kazufumi Kimoto, Yasuhiko Ikematsu …

Serien series Springer Nature Proceedings excluding Computer Science
This open access book presents selected papers from International Symposium on Mathematics, Quantum Theory, and Cryptography (MQC), which was held on September 25-27, 2019 in Fukuoka, Japan. The international symposium MQC addresses the mathematics and quantum theory underlying secure modeling of the post quantum cryptography including e.g. mathematical study of the light-matter interaction models … Lesen Sie mehr

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This open access book presents selected papers from International Symposium on Mathematics, Quantum Theory, and Cryptography (MQC), which was held on September 25-27, 2019 in Fukuoka, Japan. The international symposium MQC addresses the mathematics and quantum theory underlying secure modeling of the post quantum cryptography including e.g. mathematical study of the light-matter interaction models
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Handbook of Blind Source Separation

Independent Component Analysis and Applications

Bearbeitet von Pierre Comon, Christian Jutten …

Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and … Lesen Sie mehr

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Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and
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Complex-Valued Neural Networks

Advances and Applications

Bearbeitet von Akira Hirose …

Serien Buch 18 - IEEE Press Series on Computational Intelligence
Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applicationsComplex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed … Lesen Sie mehr

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Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applicationsComplex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed
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Object Detection and Recognition in Digital Images

Theory and Practice

von Boguslaw Cyganek …

Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields.Key features:Explains the main … Lesen Sie mehr

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Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields.Key features:Explains the main
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Numerical Solution of Partial Differential Equations: Theory, Algorithms, and Their Applications

In Honor of Professor Raytcho Lazarov's 40 Years of Research in Computational Methods and Applied Mathematics

Bearbeitet von Oleg P. Iliev, Svetozar D. Margenov, Peter D Minev, Panayot S. Vassilevski, Ludmil T Zikatanov …

Serien series Springer Nature Proceedings excluding Computer Science
One of the current main challenges in the area of scientific computing is the design and implementation of accurate numerical models for complex physical systems which are described by time dependent coupled systems of nonlinear PDEs. This volume integrates the works of experts in computational mathematics and its applications, with a focus on modern algorithms which are at the heart of accurate … Lesen Sie mehr

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One of the current main challenges in the area of scientific computing is the design and implementation of accurate numerical models for complex physical systems which are described by time dependent coupled systems of nonlinear PDEs. This volume integrates the works of experts in computational mathematics and its applications, with a focus on modern algorithms which are at the heart of accurate
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Sparse Image and Signal Processing

Wavelets and Related Geometric Multiscale Analysis, Second Edition

von Jean-Luc Starck, Fionn Murtagh, Jalal Fadili …

This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest … Lesen Sie mehr

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This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest
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Mathematical Foundations and Applications of Graph Entropy

Bearbeitet von Matthias Dehmer, Frank Emmert-Streib, Zengqiang Chen, Xueliang Li, Yongtang Shi …

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This latest addition to the successful Network Biology series presents current methods for determining the entropy of networks, making it the first to cover the recently established Quantitative Graph Theory.An excellent international team of editors and contributors provides an up-to-date outlook for the field, covering a broad range of graph entropy-related concepts and methods. The topics range … Lesen Sie mehr

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This latest addition to the successful Network Biology series presents current methods for determining the entropy of networks, making it the first to cover the recently established Quantitative Graph Theory.An excellent international team of editors and contributors provides an up-to-date outlook for the field, covering a broad range of graph entropy-related concepts and methods. The topics range
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Machine Learning and Its Application to Reacting Flows

ML and Combustion

Bearbeitet von Nedunchezhian Swaminathan, Alessandro Parente …

Serien series Energy (R0)
This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows.These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the … Lesen Sie mehr

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This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows.These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the
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Sparse Image and Signal Processing

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von Jalal M. Fadili, Jean-Luc Starck, Fionn Murtagh …

This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Recent concepts of sparsity and morphological diversity are described and exploited for various problems such as … Lesen Sie mehr

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This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Recent concepts of sparsity and morphological diversity are described and exploited for various problems such as
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Computational Neuroanatomy: The Methods

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Computational neuroanatomy is an emerging field that utilizes various non-invasive brain imaging modalities, such as MRI and DTI, in quantifying the spatiotemporal dynamics of the human brain structures in both normal and clinical populations. This discipline emerged about twenty years ago and has made substantial progress in the past decade. The main goals of this book are to provide an overview
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For many centuries, people have tried to learn about the state of their health. Initially, in the pre-technological period, they had to rely only on their senses. Then there were simple tools to help the human senses. The discovery of X-rays, which allowed people to look “inside” the body, turned out to be a major breakthrough. Contemporary medical diagnostics is increasingly being assisted by
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Reference Module Computer Science and Engineering eBook-reihen

Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging

Anderen Lesern gefiel auch

International Symposium on Mathematics, Quantum Theory, and Cryptography

Handbook of Blind Source Separation

Complex-Valued Neural Networks

Object Detection and Recognition in Digital Images

Numerical Solution of Partial Differential Equations: Theory, Algorithms, and Their Applications

Sparse Image and Signal Processing

Mathematical Foundations and Applications of Graph Entropy

Machine Learning and Its Application to Reacting Flows

Sparse Image and Signal Processing

Computational Neuroanatomy: The Methods

Information Technology in Medical Diagnostics