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Recommended For You

How to Speak Whale

A Voyage into the Future of Animal Communication

by Tom Mustill ...

‘Fascinating’ Greta Thunberg ‘Extraordinary’ Merlin Sheldrake ‘A must-read’ New Scientist ‘Enthralling’ George Monbiot ‘Brilliant’ Philip HoareWildlife filmmaker Tom Mustill had always liked whales. But when one breached onto his kayak, nearly killing him, he became obsessed.This book traces his extraordinary investigation into the deep ocean and the cutting-edge science of animal translation.What ... Read more

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‘Fascinating’ Greta Thunberg ‘Extraordinary’ Merlin Sheldrake ‘A must-read’ New Scientist ‘Enthralling’ George Monbiot ‘Brilliant’ Philip HoareWildlife filmmaker Tom Mustill had always liked whales. But when one breached onto his kayak, nearly killing him, he became obsessed.This book traces his extraordinary investigation into the deep ocean and the cutting-edge science of animal translation.What
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Fuzzy Recurrence Plots and Networks with Applications in Biomedicine

by Tuan D. Pham ...

This book presents an original combination of three well-known methodological approaches for nonlinear data analysis: recurrence, networks, and fuzzy logic.After basic concepts of these three approaches are introduced, this book presents recently developed methods known as fuzzy recurrence plots and fuzzy recurrence networks. Computer programs written in MATLAB, which implement the basic ... Read more

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This book presents an original combination of three well-known methodological approaches for nonlinear data analysis: recurrence, networks, and fuzzy logic.After basic concepts of these three approaches are introduced, this book presents recently developed methods known as fuzzy recurrence plots and fuzzy recurrence networks. Computer programs written in MATLAB, which implement the basic
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A Selection of Image Understanding Techniques

From Fundamentals to Research Front

by Yu-Jin Zhang ...

This book offers a comprehensive introduction to seven commonly used image understanding techniques in modern information technology. Readers of various levels can find suitable techniques to solve their practical problems and discover the latest development in these specific domains.The techniques covered include camera model and calibration, stereo vision, generalized matching, scene analysis ... Read more

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This book offers a comprehensive introduction to seven commonly used image understanding techniques in modern information technology. Readers of various levels can find suitable techniques to solve their practical problems and discover the latest development in these specific domains.The techniques covered include camera model and calibration, stereo vision, generalized matching, scene analysis
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Handwritten Historical Document Analysis, Recognition, And Retrieval - State Of The Art And Future Trends

by Andreas Fischer, Marcus Liwicki, Rolf (Jurg) Ingold ...

Series Book 89 - Series In Machine Perception And Artificial Intelligence
In recent years, libraries and archives all around the world have increased their efforts to digitize historical manuscripts. To integrate the manuscripts into digital libraries, pattern recognition and machine learning methods are needed to extract and index the contents of the scanned images.The unique compendium describes the outcome of the HisDoc research project, a pioneering attempt to study ... Read more

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In recent years, libraries and archives all around the world have increased their efforts to digitize historical manuscripts. To integrate the manuscripts into digital libraries, pattern recognition and machine learning methods are needed to extract and index the contents of the scanned images.The unique compendium describes the outcome of the HisDoc research project, a pioneering attempt to study
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Statistical Inference via Data Science

A ModernDive into R and the Tidyverse

by Chester Ismay, Albert Y. Kim, Arturo Valdivia ...

Series series Chapman & Hall/CRC The R Series
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse, Second Edition offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and government. The first part of this book introduces the tidyverse suite of R packages, including ggplot2 for data visualization and dplyr for data wrangling. The second part ... Read more

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse, Second Edition offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and government. The first part of this book introduces the tidyverse suite of R packages, including ggplot2 for data visualization and dplyr for data wrangling. The second part
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Human Activity and Behavior Analysis

Advances in Computer Vision and Sensors: Volume 2

Edited by Md Atiqur Rahman Ahad, Sozo Inoue, Guillaume Lopez, Tahera Hossain ...

Series series Ubiquitous Computing, Healthcare and Well-being
Human Activity and Behavior Analysis relates to the field of vision and sensor-based human action or activity and behavior analysis and recognition. The book includes a series of methodologies, surveys, relevant datasets, challenging applications, ideas, and future prospects.The book discusses topics such as action recognition, action understanding, gait analysis, gesture recognition, behavior ... Read more

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Human Activity and Behavior Analysis relates to the field of vision and sensor-based human action or activity and behavior analysis and recognition. The book includes a series of methodologies, surveys, relevant datasets, challenging applications, ideas, and future prospects.The book discusses topics such as action recognition, action understanding, gait analysis, gesture recognition, behavior
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Dermoscopy Image Analysis

Edited by M. Emre Celebi, Teresa Mendonca, Jorge S. Marques ...

Series series Digital Imaging and Computer Vision
Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and either liquid immersion or cross-polarized lighting to make subsurface structures more easily visible when compared to conventional clinical images. It allows for the identification of dozens of morphological features that are particularly important in identifyin ... Read more

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Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and either liquid immersion or cross-polarized lighting to make subsurface structures more easily visible when compared to conventional clinical images. It allows for the identification of dozens of morphological features that are particularly important in identifyin
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Remote Sensing and Cognition

Human Factors in Image Interpretation

Edited by Raechel A. White, Arzu Coltekin, Robert R. Hoffman ...

Human factors play a critical role in the design and interpretation of remotely sensed imagery for all Earth sciences. ***Remote Sensing and Cognition: Human Factors in Image Interpretation***brings together current topics widely recognized and addressed regarding human cognition in geographic imagery, especially remote sensing imagery with complex data. It addresses themes around expertise ... Read more

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Human factors play a critical role in the design and interpretation of remotely sensed imagery for all Earth sciences. ***Remote Sensing and Cognition: Human Factors in Image Interpretation***brings together current topics widely recognized and addressed regarding human cognition in geographic imagery, especially remote sensing imagery with complex data. It addresses themes around expertise
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Handbook of Image-based Security Techniques

by Shivendra Shivani, Suneeta Agarwal, Jasjit S. Suri ...

This book focuses on image based security techniques, namely visual cryptography, watermarking, and steganography. This book is divided into four sections. The first section explores basic to advanced concepts of visual cryptography.The second section of the book covers digital image watermarking including watermarking algorithms, frameworks for modeling watermarking systems, and the evaluation of ... Read more

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This book focuses on image based security techniques, namely visual cryptography, watermarking, and steganography. This book is divided into four sections. The first section explores basic to advanced concepts of visual cryptography.The second section of the book covers digital image watermarking including watermarking algorithms, frameworks for modeling watermarking systems, and the evaluation of
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Data-Driven Modelling with Fuzzy Sets

Embracing Uncertainty

Edited by Said Broumi, D. Nagarajan, Michael Gr. Voskoglou, S. A. Edalatpanah ...

Series series Intelligent Data-Driven Systems and Artificial Intelligence
Zadeh introduced in 1965 the theory of fuzzy sets, in which truth values are modelled by numbers in the unit interval [0, 1], for tackling mathematically the frequently appearing in everyday life partial truths. In a second stage, when membership functions were reinterpreted as possibility distributions, fuzzy sets were extensively used to embrace uncertainty modelling. Uncertainty is defined as ... Read more

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Zadeh introduced in 1965 the theory of fuzzy sets, in which truth values are modelled by numbers in the unit interval [0, 1], for tackling mathematically the frequently appearing in everyday life partial truths. In a second stage, when membership functions were reinterpreted as possibility distributions, fuzzy sets were extensively used to embrace uncertainty modelling. Uncertainty is defined as
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Advanced Sensing in Image Processing and IoT

Edited by Rashmi Gupta, Arun Kumar Rana, Sachin Dhawan, Korhan Cengiz ...

Series series Innovations in Multimedia, Virtual Reality and Augmentation
The book provides future research directions in IoT and image processing based Energy, Industry, and Healthcare domain and explores the different applications of its associated technologies. However, the Internet of Things and image processing is a very big field with a lot of subfields, which are very important such as Smart Homes to improve our daily life, Smart Cities to improve the citizens' ... Read more

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The book provides future research directions in IoT and image processing based Energy, Industry, and Healthcare domain and explores the different applications of its associated technologies. However, the Internet of Things and image processing is a very big field with a lot of subfields, which are very important such as Smart Homes to improve our daily life, Smart Cities to improve the citizens'
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A Beginner’s Guide to Image Shape Feature Extraction Techniques

by Jyotismita Chaki, Nilanjan Dey ...

Series series Intelligent Signal Processing and Data Analysis
This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape features in the field of content-based image retrieval. Showcasing useful applications and illustrating examples in ... Read more

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This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape features in the field of content-based image retrieval. Showcasing useful applications and illustrating examples in
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Image Sensors and Signal Processing for Digital Still Cameras

Edited by Junichi Nakamura ...

Series series Optical Science and Engineering
Shrinking pixel sizes along with improvements in image sensors, optics, and electronics have elevated DSCs to levels of performance that match, and have the potential to surpass, that of silver-halide film cameras. Image Sensors and Signal Processing for Digital Still Cameras captures the current state of DSC image acquisition and signal processing technology and takes an all-inclusive look at the ... Read more

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Shrinking pixel sizes along with improvements in image sensors, optics, and electronics have elevated DSCs to levels of performance that match, and have the potential to surpass, that of silver-halide film cameras. Image Sensors and Signal Processing for Digital Still Cameras captures the current state of DSC image acquisition and signal processing technology and takes an all-inclusive look at the
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Pattern Recognition and Image Preprocessing

Edited by Sing T. Bow ...

Series series Signal Processing and Communications
Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components. It contains discussions on dimensionality reduction and feature selection; novel computer system architectures; proven algorithms for ... Read more

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Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components. It contains discussions on dimensionality reduction and feature selection; novel computer system architectures; proven algorithms for
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Image Processing and Analysis with Graphs

Theory and Practice

Edited by Olivier Lezoray, Leo Grady ...

Series series Digital Imaging and Computer Vision
Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications.Explores new applications in computational photography, image and video ... Read more

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Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications.Explores new applications in computational photography, image and video
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Bio-Inspired Computing for Image and Video Processing

Edited by D. P. Acharjya, V. Santhi ...

In recent years bio-inspired computational theories and tools have developed to assist people in extracting knowledge from high dimensional data. These differ in how they take a more evolutionary approach to learning, as opposed to traditional artificial intelligence (AI) and what could be described as 'creationist' methods. Instead bio-inspired computing takes a bottom-up, de-centralized approach ... Read more

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In recent years bio-inspired computational theories and tools have developed to assist people in extracting knowledge from high dimensional data. These differ in how they take a more evolutionary approach to learning, as opposed to traditional artificial intelligence (AI) and what could be described as 'creationist' methods. Instead bio-inspired computing takes a bottom-up, de-centralized approach
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Deep Learning in Computer Vision

Principles and Applications

Edited by Mahmoud Hassaballah, Ali Ismail Awad ...

Series series Digital Imaging and Computer Vision
Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to ... Read more

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Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to
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Kubernetes from basic to advanced levels

by Alex Carvalho ...

In the world of modern software development, Kubernetes has emerged as a powerful tool for managing containerized applications. "Kubernetes: From Basic to Advanced Levels" is an essential guide that takes readers on a comprehensive journey through this popular open-source platform. Whether you are a beginner looking to understand the basics or an experienced user aiming to master advanced concepts ... Read more

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In the world of modern software development, Kubernetes has emerged as a powerful tool for managing containerized applications. "Kubernetes: From Basic to Advanced Levels" is an essential guide that takes readers on a comprehensive journey through this popular open-source platform. Whether you are a beginner looking to understand the basics or an experienced user aiming to master advanced concepts
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Foundations of Data Science

by Avrim Blum, John Hopcroft, Ravindran Kannan ...

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of ... Read more

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This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of
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Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

by Ni-Bin Chang, Kaixu Bai ...

In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive ... Read more

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In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive
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Introduction to Applied Linear Algebra

Vectors, Matrices, and Least Squares

by Stephen Boyd, Lieven Vandenberghe ...

This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and ... Read more

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This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and
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Fundamentals of Deep Learning and Computer Vision

by Singh Nikhil ...

Master Computer Vision concepts using Deep Learning with easy-to-follow steps Key Featuresa- Setting up the Python and TensorFlow environmenta- Learn core Tensorflow concepts with the latest TF version 2.0a- Learn Deep Learning for computer vision applications a- Understand different computer vision concepts and use-casesa- Understand different state-of-the-art CNN architectures a- Build deep ... Read more

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Master Computer Vision concepts using Deep Learning with easy-to-follow steps Key Featuresa- Setting up the Python and TensorFlow environmenta- Learn core Tensorflow concepts with the latest TF version 2.0a- Learn Deep Learning for computer vision applications a- Understand different computer vision concepts and use-casesa- Understand different state-of-the-art CNN architectures a- Build deep
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ADVANCED DATA STRUCTURES FOR ALGORITHMS

Mastering Complex Data Structures for Algorithmic Problem-Solving (2024)

by VIOLET CASTRO ...

"Advanced Data Structures for Algorithms" is an indispensable guide for programmers seeking to elevate their algorithmic problem-solving skills by mastering sophisticated data structures. Delving beyond basic arrays and linked lists, this book equips readers with the knowledge and techniques needed to leverage advanced data structures effectively in tackling complex computational challenges.· ... Read more

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"Advanced Data Structures for Algorithms" is an indispensable guide for programmers seeking to elevate their algorithmic problem-solving skills by mastering sophisticated data structures. Delving beyond basic arrays and linked lists, this book equips readers with the knowledge and techniques needed to leverage advanced data structures effectively in tackling complex computational challenges.·
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Digital Image Processing with C++

Implementing Reference Algorithms with the CImg Library

by David Tschumperle, Christophe Tilmant, Vincent Barra ...

Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library presents the theory of digital image processing and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). ... Read more

€48.24

Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library presents the theory of digital image processing and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.).
... Read more

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Recommended For You

Optical Data Processing eBooks

How to Speak Whale

Fuzzy Recurrence Plots and Networks with Applications in Biomedicine

A Selection of Image Understanding Techniques

Handwritten Historical Document Analysis, Recognition, And Retrieval - State Of The Art And Future Trends

Statistical Inference via Data Science

Human Activity and Behavior Analysis

Dermoscopy Image Analysis

Remote Sensing and Cognition

Handbook of Image-based Security Techniques

Data-Driven Modelling with Fuzzy Sets

Advanced Sensing in Image Processing and IoT

A Beginner’s Guide to Image Shape Feature Extraction Techniques

Image Sensors and Signal Processing for Digital Still Cameras

Pattern Recognition and Image Preprocessing

Image Processing and Analysis with Graphs

Bio-Inspired Computing for Image and Video Processing

Deep Learning in Computer Vision

Kubernetes from basic to advanced levels

Foundations of Data Science

Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

Introduction to Applied Linear Algebra

Fundamentals of Deep Learning and Computer Vision

ADVANCED DATA STRUCTURES FOR ALGORITHMS

Digital Image Processing with C++