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Edición de Qihao Weng ...

Series series Remote Sensing Applications Series
Remote sensing of impervious surfaces has matured using advances in geospatial technology so recent that its applications have received only sporadic coverage in remote sensing literature. Remote Sensing of Impervious Surfaces is the first to focus entirely on this developing field. It provides detailed coverage of mapping, data extraction, ... Leer más

$1,187 MXN

Remote sensing of impervious surfaces has matured using advances in geospatial technology so recent that its applications have received only sporadic coverage in remote sensing literature. Remote Sensing of Impervious Surfaces is the first to focus entirely on this developing field. It provides detailed coverage of mapping, data extraction,
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Applied Machine Learning on Sensing Technologies

Edición de Md Atiqur Rahman Ahad, Anton Nijholt, Md Abdus Samad Kamal, Björn Schuller, Matthew A. Turk ...

Series series Ubiquitous Computing, Healthcare and Well-being
This book explores applied machine learning and deep learning in the field of sensing, vision and sensor-based applications. It includes a series of methodologies, exploration of new applications, presentations on relevant datasets, challenging applications, guidelines, ideas and future scopes. Edited by leading experts in these arenas, the book will be of great interest to academic researchers, ... Leer más

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This book explores applied machine learning and deep learning in the field of sensing, vision and sensor-based applications. It includes a series of methodologies, exploration of new applications, presentations on relevant datasets, challenging applications, guidelines, ideas and future scopes. Edited by leading experts in these arenas, the book will be of great interest to academic researchers,
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High-Dimensional Probability

An Introduction with Applications in Data Science

de Roman Vershynin ...

Series Libro 47 - Cambridge Series in Statistical and Probabilistic Mathematics
High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate ... Leer más

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High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

de Nello Cristianini, John Shawe-Taylor ...

This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard ... Leer más

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This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard
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Sparse Image and Signal Processing

Wavelets and Related Geometric Multiscale Analysis, Second Edition

de 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 ... Leer más

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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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Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems

Edición de Anshu Singla, Sarvesh Tanwar, Pao-Ann Hsiung ...

Series series Intelligent Data-Driven Systems and Artificial Intelligence
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This book comprehensively discusses the role of cloud computing in artificial intelligence‑based data‑driven systems and hybrid cloud computing for large data‑driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Things‑based frameworks and advanced
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Handbook of Image Quality

Characterization and Prediction

de Brian Keelan ...

Series series Optical Science and Engineering
With 300 figures, tables, and equations, this book presents a unified approach to image quality research and modeling. The author discusses the results of different, calibrated psychometric experiments can be rigorously integrated to construct predictive software using Monte Carlo simulations and provides numerous examples of viable field applications for product design and verification of ... Leer más

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With 300 figures, tables, and equations, this book presents a unified approach to image quality research and modeling. The author discusses the results of different, calibrated psychometric experiments can be rigorously integrated to construct predictive software using Monte Carlo simulations and provides numerous examples of viable field applications for product design and verification of
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IoT-enabled Convolutional Neural Networks: Techniques and Applications

Edición de Mohd Naved, V. Ajantha Devi, Loveleen Gaur, Ahmed A. Elngar ...

Convolutional neural networks (CNNs), a type of deep neural network that has become dominant in a variety of computer vision tasks, in recent years, CNNs have attracted interest across a variety of domains due to their high efficiency at extracting meaningful information from visual imagery. CNNs excel at a wide range of machine learning and deep learning tasks. As sensor-enabled internet of ... Leer más

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Convolutional neural networks (CNNs), a type of deep neural network that has become dominant in a variety of computer vision tasks, in recent years, CNNs have attracted interest across a variety of domains due to their high efficiency at extracting meaningful information from visual imagery. CNNs excel at a wide range of machine learning and deep learning tasks. As sensor-enabled internet of
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Introduction to Digital Image Processing

de William K. Pratt ...

The subject of digital image processing has migrated from a graduate to a junior or senior level course as students become more proficient in mathematical background earlier in their college education. With that in mind, Introduction to Digital Image Processing is simpler in terms of mathematical derivations and eliminates derivations of advanced s ... Leer más

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The subject of digital image processing has migrated from a graduate to a junior or senior level course as students become more proficient in mathematical background earlier in their college education. With that in mind, Introduction to Digital Image Processing is simpler in terms of mathematical derivations and eliminates derivations of advanced s
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Trends in Interactive Visualization

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Edición de Elena Zudilova-Seinstra, Tony Adriaansen, Robert van Liere ...

Series series Advanced Information and Knowledge Processing
II Challenges in Data Mapping Part II deals with one of the most challenging tasks in Interactive Visualization, mapping and teasing out information from large complex datasets and generating visual representations. This section consists of four chapters. Binh Pham, Alex Streit, and Ross Brown provide a comprehensive requirement analysis of information uncertainty visualizations. They examine the ... Leer más

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Neural Networks, Machine Learning, and Image Processing

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Edición de Manoj Sahni, Ritu Sahni, Jose M Merigo ...

The text comprehensively discusses the latest mathematical modelling techniques and their applications in various areas such as fuzzy modelling, signal processing, neural network, machine learning, image processing, and their numerical analysis. It further covers image processing techniques like Viola-Jones Method for face detection and fuzzy approach for person video emotion. It will serve as an ... Leer más

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The text comprehensively discusses the latest mathematical modelling techniques and their applications in various areas such as fuzzy modelling, signal processing, neural network, machine learning, image processing, and their numerical analysis. It further covers image processing techniques like Viola-Jones Method for face detection and fuzzy approach for person video emotion. It will serve as an
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Convolutional Neural Networks for Medical Image Processing Applications

Edición de Saban Ozturk ...

The rise in living standards increases the expectation of people in almost every field. At the forefront is health. Over the past few centuries, there have been major developments in healthcare. Medical device technology and developments in artificial intelligence (AI) are among the most important ones. The improving technology and our ability to harness the technology effectively by means such as ... Leer más

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The rise in living standards increases the expectation of people in almost every field. At the forefront is health. Over the past few centuries, there have been major developments in healthcare. Medical device technology and developments in artificial intelligence (AI) are among the most important ones. The improving technology and our ability to harness the technology effectively by means such as
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Interactive Visual Data Analysis

de Christian Tominski, Heidrun Schumann ...

Series series AK Peters Visualization Series
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In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data.The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods.
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Coding Theory, Cryptography, and Finite Fields

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Edición de Anand Nayyar, R. S. Raja Durai, Shalini Gupta, Neetu Dhiman, Ashwini Kumar ...

Coding Theory, Cryptography, and Finite Fields explores the theory and applications of finite fields, from basic concepts such as the modular arithmetic and polynomial interpolation to advanced topics such construction and counting of polynomials. This book:Addresses a wide range of topics within coding theory, cryptography, and finite fields, offering a holistic understanding of these ... Leer más

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PEDIDO ANTICIPADO

Coding Theory, Cryptography, and Finite Fields explores the theory and applications of finite fields, from basic concepts such as the modular arithmetic and polynomial interpolation to advanced topics such construction and counting of polynomials. This book:Addresses a wide range of topics within coding theory, cryptography, and finite fields, offering a holistic understanding of these
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Emerging Topics in Pattern Recognition and Artificial Intelligence

de Mounîm A El-Yacoubi, Nicole Vincent, Camille Kurtz ...

Series Libro 9 - Series on Language Processing, Pattern Recognition, and Intelligent Systems
The unique compendium covers a wide range of recent advanced contributions in Pattern Recognition and Artificial Intelligence, both in theoretical aspects and applications. It highlights the importance of Deep Learning in various domains, from acquisition to Decision Making.Written by world renowned contributors, this high-quality research works presents case studies that can potentially help them ... Leer más

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The unique compendium covers a wide range of recent advanced contributions in Pattern Recognition and Artificial Intelligence, both in theoretical aspects and applications. It highlights the importance of Deep Learning in various domains, from acquisition to Decision Making.Written by world renowned contributors, this high-quality research works presents case studies that can potentially help them
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Foundations of Data Visualization

Edición de Min Chen, Helwig Hauser, Penny Rheingans, Gerik Scheuermann ...

This is the first book that focuses entirely on the fundamental questions in visualization. Unlike other existing books in the field, it contains discussions that go far beyond individual visual representations and individual visualization algorithms. It offers a collection of investigative discourses that probe these questions from different perspectives, including concepts that help frame these ... Leer más

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This is the first book that focuses entirely on the fundamental questions in visualization. Unlike other existing books in the field, it contains discussions that go far beyond individual visual representations and individual visualization algorithms. It offers a collection of investigative discourses that probe these questions from different perspectives, including concepts that help frame these
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Introduction to Inverse Problems in Imaging

de M. Bertero, P. Boccacci, Christine De Mol ...

Fully updated throughout and with several new chapters, this second edition of***Introduction to Inverse Problems in Imaging*** guides advanced undergraduate and graduate students in physics, computer science, mathematics and engineering through the principles of linear inverse problems, in addition to methods of their approximate solution and their practical applications in imaging.This second ... Leer más

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Fully updated throughout and with several new chapters, this second edition of***Introduction to Inverse Problems in Imaging*** guides advanced undergraduate and graduate students in physics, computer science, mathematics and engineering through the principles of linear inverse problems, in addition to methods of their approximate solution and their practical applications in imaging.This second
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Applications of Optimization and Machine Learning in Image Processing and IoT

Edición de Nidhi Gupta ...

This book presents state-of-the-art optimization algorithms followed by Internet of Things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics including optimization, algorithms and machine learning in image processing and IoT.Applications of Optimization and Machine Learning in Image Processing and IoT is a complete reference source, providing the latest ... Leer más

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This book presents state-of-the-art optimization algorithms followed by Internet of Things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics including optimization, algorithms and machine learning in image processing and IoT.Applications of Optimization and Machine Learning in Image Processing and IoT is a complete reference source, providing the latest
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Cryptographic and Information Security Approaches for Images and Videos

de S. Ramakrishnan ...

This book presents essential principles, technical information, and expert insights on multimedia security technology. Illustrating the need for improved content security as the Internet and digital multimedia applications rapidly evolve, it presents a wealth of everyday protection application examples in fields including . Giving readers an in-depth introduction to different aspects of ... Leer más

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This book presents essential principles, technical information, and expert insights on multimedia security technology. Illustrating the need for improved content security as the Internet and digital multimedia applications rapidly evolve, it presents a wealth of everyday protection application examples in fields including . Giving readers an in-depth introduction to different aspects of
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Computing and Simulation for Engineers

Edición de Ziya Uddin, Mukesh Kumar Awasthi, Rishi Asthana, Mangey Ram ...

Series series Mathematical Engineering, Manufacturing, and Management Sciences
This book presents the reader with comprehensive insight into various kinds of mathematical modeling and numerical computation for problems arising in several branches of engineering, such as mechanical engineering, computer science engineering, electrical engineering, electronics and communication engineering, and civil engineering.The book:• Discusses topics related to clean and green energy ... Leer más

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This book presents the reader with comprehensive insight into various kinds of mathematical modeling and numerical computation for problems arising in several branches of engineering, such as mechanical engineering, computer science engineering, electrical engineering, electronics and communication engineering, and civil engineering.The book:• Discusses topics related to clean and green energy
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Brief Notes in Advanced DSP

Fourier Analysis with MATLAB

de Artyom M. Grigoryan, Merughan Grigoryan ...

Based on the authors’ research in Fourier analysis, Brief Notes in Advanced DSP: Fourier Analysis with MATLAB® addresses many concepts and applications of digital signal processing (DSP). The included MATLAB® codes illustrate how to apply the ideas in practice.The book begins with the basic concept of the discrete Fourier transformation and its properties. It then describes lifting schemes, ... Leer más

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Based on the authors’ research in Fourier analysis, Brief Notes in Advanced DSP: Fourier Analysis with MATLAB® addresses many concepts and applications of digital signal processing (DSP). The included MATLAB® codes illustrate how to apply the ideas in practice.The book begins with the basic concept of the discrete Fourier transformation and its properties. It then describes lifting schemes,
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Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

de Anil Kumar, Priyadarshi Upadhyay, A. Senthil Kumar ...

This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical ... Leer más

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This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical
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Handbook of Texture Analysis

AI-Based Medical Imaging Applications

Edición de Ayman El-Baz, Mohammed Ghazal, Jasjit S. Suri ...

The major goals of texture research in computer vision are to understand, model, and process texture and, ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning ... Leer más

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The major goals of texture research in computer vision are to understand, model, and process texture and, ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning
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Biomedical Signal and Image Examination with Entropy-Based Techniques

de V. Rajinikanth, K. Kamalanand, C. Emmanuel, B. Thayumanavan ...

Series series Biomedical and Robotics Healthcare
The aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems. The recent research works on biomedical signal evaluation confirms that signal ... Leer más

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The aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems. The recent research works on biomedical signal evaluation confirms that signal
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Recomendado para ti

eBooks de Procesamiento óptico de datos

Remote Sensing of Impervious Surfaces

Applied Machine Learning on Sensing Technologies

High-Dimensional Probability

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Sparse Image and Signal Processing

Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems

Handbook of Image Quality

IoT-enabled Convolutional Neural Networks: Techniques and Applications

Introduction to Digital Image Processing

Trends in Interactive Visualization

Neural Networks, Machine Learning, and Image Processing

Convolutional Neural Networks for Medical Image Processing Applications

Interactive Visual Data Analysis

Coding Theory, Cryptography, and Finite Fields

Emerging Topics in Pattern Recognition and Artificial Intelligence

Foundations of Data Visualization

Introduction to Inverse Problems in Imaging

Applications of Optimization and Machine Learning in Image Processing and IoT

Cryptographic and Information Security Approaches for Images and Videos

Computing and Simulation for Engineers

Brief Notes in Advanced DSP

Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

Handbook of Texture Analysis

Biomedical Signal and Image Examination with Entropy-Based Techniques