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Recommandé pour vous

Biomedical Signal and Image Processing

par Kayvan Najarian, Robert Splinter ...

Written for senior-level and first year graduate students in biomedical signal and image processing, this book describes fundamental signal and image processing techniques that are used to process biomedical information. The book also discusses application of these techniques in the processing of some of the main biomedical signals and images, such as EEG, ECG, MRI, and CT. New features of this ... En savoir plus

Gratuit

Written for senior-level and first year graduate students in biomedical signal and image processing, this book describes fundamental signal and image processing techniques that are used to process biomedical information. The book also discusses application of these techniques in the processing of some of the main biomedical signals and images, such as EEG, ECG, MRI, and CT. New features of this
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High Efficiency Video Coding and Other Emerging Standards

par K.R. Rao, J.J. Hwang, D.N. Kim ...

High Efficiency Video Coding and Other Emerging Standards provides an overview of high efficiency video coding (HEVC) and all its extensions and profiles. There are nearly 300 projects and problems included, and about 400 references related to HEVC alone. Next generation video coding (NGVC) beyond HEVC is also described. Other video coding standards such as AVS2, DAALA, THOR, VP9 (Google), DIRAC, ... En savoir plus

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High Efficiency Video Coding and Other Emerging Standards provides an overview of high efficiency video coding (HEVC) and all its extensions and profiles. There are nearly 300 projects and problems included, and about 400 references related to HEVC alone. Next generation video coding (NGVC) beyond HEVC is also described. Other video coding standards such as AVS2, DAALA, THOR, VP9 (Google), DIRAC,
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Kernel Methods for Pattern Analysis

par John Shawe-Taylor, Nello Cristianini ...

Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from neural networks and pattern recognition to machine learning and data mining. This book, developed ... En savoir plus

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Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from neural networks and pattern recognition to machine learning and data mining. This book, developed
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Biomedical Signal Processing

A Modern Approach

Modifié par Ganesh R. Naik, Wellington Pinheiro dos Santos ...

Collection series Biomedical Signal and Image Processing
This book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous and discrete representation, linear filters and ... En savoir plus

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This book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous and discrete representation, linear filters and
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Machine Learning and Deep Learning Techniques for Medical Image Recognition

Modifié par Ben Othman Soufiene, Chinmay Chakraborty ...

Collection series Advances in Smart Healthcare Technologies
Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular focus is ... En savoir plus

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Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular focus is
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Augmented Reality

Fundamentals and Applications

par Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sánchez ...

This book focuses on augmented reality (AR) technology, which uses the real environment to superimpose virtual elements. Therefore, the reader can create applications that simulate scenarios that can be dangerous or expensive to generate in the real world. AR has proven helpful in education, marketing, and industrial scenarios. AR technology improves the user experience of various disciplines, ... En savoir plus

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This book focuses on augmented reality (AR) technology, which uses the real environment to superimpose virtual elements. Therefore, the reader can create applications that simulate scenarios that can be dangerous or expensive to generate in the real world. AR has proven helpful in education, marketing, and industrial scenarios. AR technology improves the user experience of various disciplines,
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Forensic Digital Image Processing

Optimization of Impression Evidence

par Brian Dalrymple, Jill Smith ...

The digital revolution over the past several decades has advanced every facet of evidence detection, photography, optimization, and interpretation. Forensic scientists and practitioners have benefited tremendously from the move from film to digital. With proper procedures in place, digital images and casework capabilities have increased tremendously in both complexity and range due to a vast array ... En savoir plus

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The digital revolution over the past several decades has advanced every facet of evidence detection, photography, optimization, and interpretation. Forensic scientists and practitioners have benefited tremendously from the move from film to digital. With proper procedures in place, digital images and casework capabilities have increased tremendously in both complexity and range due to a vast array
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Activity, Behavior, and Healthcare Computing

Modifié par Sozo Inoue, Guillaume Lopez, Tahera Hossain, Md Atiqur Rahman Ahad ...

Collection series Ubiquitous Computing, Healthcare and Well-being
Activity, Behavior, and Healthcare Computing relates to the fields of vision and sensor-based human action or activity and behavior analysis and recognition. As well as a series of methodologies, the book includes original methods, exploration of new applications, excellent survey papers, presentations on relevant datasets, challenging applications, ideas and future scopes with guidelines. ... En savoir plus

234,96 €

Activity, Behavior, and Healthcare Computing relates to the fields of vision and sensor-based human action or activity and behavior analysis and recognition. As well as a series of methodologies, the book includes original methods, exploration of new applications, excellent survey papers, presentations on relevant datasets, challenging applications, ideas and future scopes with guidelines.
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Computer Vision and Image Analysis for Industry 4.0

Modifié par Nazmul Siddique, Mohammad Shamsul Arefin, Md Atiqur Rahman Ahad, M. Ali Akber Dewan ...

Computer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments can be improved significantly if we integrate computer vision and image analysis techniques. The more advancement in innovation and research in computer vision and image ... En savoir plus

59,33 €

Computer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments can be improved significantly if we integrate computer vision and image analysis techniques. The more advancement in innovation and research in computer vision and image
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Touchless Fingerprint Biometrics

par Ruggero Donida Labati, Vincenzo Piuri, Fabio Scotti ...

Collection series Series in Security, Privacy and Trust
This book offers the first comprehensive analysis of touchless fingerprint-recognition technologies. It gives an overview of the state of the art, describes relevant industrial applications, and presents new techniques to efficiently and effectively implement advanced solutions based on touchless fingerprint biometrics. It considers current problems in developing high-accuracy touchless ... En savoir plus

84,25 €

This book offers the first comprehensive analysis of touchless fingerprint-recognition technologies. It gives an overview of the state of the art, describes relevant industrial applications, and presents new techniques to efficiently and effectively implement advanced solutions based on touchless fingerprint biometrics. It considers current problems in developing high-accuracy touchless
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Multi-Sensor and Multi-Temporal Remote Sensing

Specific Single Class Mapping

par Anil Kumar, Priyadarshi Upadhyay, Uttara Singh ...

This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The ... En savoir plus

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This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The
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Image Analysis and Modeling in Ophthalmology

Modifié par Eddie Y. K. Ng, U. Rajendra Acharya, Jasjit S. Suri, Aurelio Campilho ...

Successful thermal modeling of the human eye helps in the early diagnosis of eye abnormalities such as inflammation, cataracts, diabetic retinopathy, and glaucoma-all leading causes of blindness. This book presents a unified work of eye imaging and modeling techniques that have been proposed and applied to ophthalmologic problems. It delves into various morphological, texture, higher order spectra ... En savoir plus

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Successful thermal modeling of the human eye helps in the early diagnosis of eye abnormalities such as inflammation, cataracts, diabetic retinopathy, and glaucoma-all leading causes of blindness. This book presents a unified work of eye imaging and modeling techniques that have been proposed and applied to ophthalmologic problems. It delves into various morphological, texture, higher order spectra
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Mathematical Optics

Classical, Quantum, and Computational Methods

Modifié par Vasudevan Lakshminarayanan, María L. Calvo, Tatiana Alieva ...

Going beyond standard introductory texts, Mathematical Optics: Classical, Quantum, and Computational Methods brings together many new mathematical techniques from optical science and engineering research. Profusely illustrated, the book makes the material accessible to students and newcomers to the field.Divided into six parts, the text presents state-of-the-art mathematical methods and ... En savoir plus

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Going beyond standard introductory texts, Mathematical Optics: Classical, Quantum, and Computational Methods brings together many new mathematical techniques from optical science and engineering research. Profusely illustrated, the book makes the material accessible to students and newcomers to the field.Divided into six parts, the text presents state-of-the-art mathematical methods and
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Fourier Optics in Image Processing

par Neil Collings ...

Collection series Series in Optics and Optoelectronics
This much-needed text brings the treatment of optical pattern recognition up-to-date in one comprehensive resource. Optical pattern recognition, one of the first implementations of Fourier Optics, is now widely used, and this text provides an accessible introduction for readers who wish to get to grips with how holography is applied in a practical context. A wide range of devices are addressed ... En savoir plus

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This much-needed text brings the treatment of optical pattern recognition up-to-date in one comprehensive resource. Optical pattern recognition, one of the first implementations of Fourier Optics, is now widely used, and this text provides an accessible introduction for readers who wish to get to grips with how holography is applied in a practical context. A wide range of devices are addressed
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Signal and Image Processing in Navigational Systems

par Vyacheslav Tuzlukov ...

Collection series Electrical Engineering & Applied Signal Processing Series
Classical and modern theories have given us a degree of noise immunity by defining the sufficient statistic of the mean of the likelihood function. The generalized theory moves beyond these limitations to determine the jointly sufficient statistics of the mean and variance of the likelihood function. Signal and Image Processing in Navigational Systems introduces us to the generalized approach, and ... En savoir plus

356,03 €

Classical and modern theories have given us a degree of noise immunity by defining the sufficient statistic of the mean of the likelihood function. The generalized theory moves beyond these limitations to determine the jointly sufficient statistics of the mean and variance of the likelihood function. Signal and Image Processing in Navigational Systems introduces us to the generalized approach, and
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Neural Networks, Machine Learning, and Image Processing

Mathematical Modeling and Applications

Modifié par 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 ... En savoir plus

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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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Handbook of Robust Low-Rank and Sparse Matrix Decomposition

Applications in Image and Video Processing

Modifié par Thierry Bouwmans, Necdet Serhat Aybat, El-hadi Zahzah ...

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications. Incorporating both existing and new ideas, the book conveniently gives you one-stop access to a number of different decompositions ... En savoir plus

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Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications. Incorporating both existing and new ideas, the book conveniently gives you one-stop access to a number of different decompositions
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Face Detection and Recognition

Theory and Practice

par Asit Kumar Datta, Madhura Datta, Pradipta Kumar Banerjee ...

Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control, driver's license issuance, law enforcement investigations, and physical access control.Face Detection and Recognition: Theory and Practice elaborates on and explains the theory and practice of face de ... En savoir plus

78,31 €

Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control, driver's license issuance, law enforcement investigations, and physical access control.Face Detection and Recognition: Theory and Practice elaborates on and explains the theory and practice of face de
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Building Feature Extraction with Machine Learning

Geospatial Applications

par Bharath.H. Aithal, Prakash P.S. ...

Big geospatial datasets created by large infrastructure projects require massive computing resources to process. Feature extraction is a process used to reduce the initial set of raw data for manageable image processing, and machine learning (ML) is the science that supports it. This book focuses on feature extraction methods for optical geospatial data using ML. It is a practical guide for ... En savoir plus

60,51 €

Big geospatial datasets created by large infrastructure projects require massive computing resources to process. Feature extraction is a process used to reduce the initial set of raw data for manageable image processing, and machine learning (ML) is the science that supports it. This book focuses on feature extraction methods for optical geospatial data using ML. It is a practical guide for
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Statistical Computing in Nuclear Imaging

par Arkadiusz Sitek ...

Collection series Series in Medical Physics and Biomedical Engineering
This book is highly focused on computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements in nuclear imaging. Basic Bayesian statistical concepts, elements of Bayesian decision theory, and counting statistics are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed next along with an introduction ... En savoir plus

64,07 €

This book is highly focused on computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements in nuclear imaging. Basic Bayesian statistical concepts, elements of Bayesian decision theory, and counting statistics are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed next along with an introduction
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Multimedia and Multimodal Intelligence for Sustainable Development

Modifié par Vinay Kumar Srivastava, Priyank Khare, Divyanshu Awasthi, Lalit Garg ...

Collection series Multimedia and Multimodal Intelligence
The multimodal and multimedia data need to be secured and preserved properly in the present scenario. The methodologies proposed in the book will offer a new paradigm in AI-based techniques. With these approaches, the social good of modern society will be enhanced. Multimedia, multimodal data and intelligent systems will deliver insightful comments for sustainable development. Therefore, these ... En savoir plus

161,39 €

The multimodal and multimedia data need to be secured and preserved properly in the present scenario. The methodologies proposed in the book will offer a new paradigm in AI-based techniques. With these approaches, the social good of modern society will be enhanced. Multimedia, multimodal data and intelligent systems will deliver insightful comments for sustainable development. Therefore, these
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Modern Metaheuristics in Image Processing

par Diego Oliva, Noe Ortega-Sánchez, Salvador Hinojosa, Marco Pérez-Cisneros ...

The use of metaheuristic algorithms (MA) has been increasing in recent years, and the image processing field is not the exempted of their application. In the last two years a big amount of MA has been introduced as alternatives for solving complex optimization problems. This book collects the most prominent MA of the 2019 and 2020 and verifies its use in image processing tasks. In addition, ... En savoir plus

26,10 €

The use of metaheuristic algorithms (MA) has been increasing in recent years, and the image processing field is not the exempted of their application. In the last two years a big amount of MA has been introduced as alternatives for solving complex optimization problems. This book collects the most prominent MA of the 2019 and 2020 and verifies its use in image processing tasks. In addition,
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Multimedia Ontology

Representation and Applications

par Santanu Chaudhury, Anupama Mallik, Hiranmay Ghosh ...

The result of more than 15 years of collective research, Multimedia Ontology: Representation and Applications provides a theoretical foundation for understanding the nature of media data and the principles involved in its interpretation. The book presents a unified approach to recent advances in multimedia and explains how a multimedia ontology can ... En savoir plus

81,87 €

The result of more than 15 years of collective research, Multimedia Ontology: Representation and Applications provides a theoretical foundation for understanding the nature of media data and the principles involved in its interpretation. The book presents a unified approach to recent advances in multimedia and explains how a multimedia ontology can
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Robust Biometric Systems and Efficient Data Preservation

Modifié par Brajesh Kumar Singh, Amrita Rai, Shamimul Qamar, Ravinder Kumar, Anil Kumar ...

Collection series Responsible Technology and Intelligence
The book explores the intricate nexus between biometric systems and the need for preserving data integrity as well as security needed during the data communication. It offers a systematic and insightful journey through the multifaceted landscape of biometrics, emphasizing the development of resilient systems and the judicious preservation of critical data.The book starts with introduction to ... En savoir plus

61,70 €

The book explores the intricate nexus between biometric systems and the need for preserving data integrity as well as security needed during the data communication. It offers a systematic and insightful journey through the multifaceted landscape of biometrics, emphasizing the development of resilient systems and the judicious preservation of critical data.The book starts with introduction to
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Recommandé pour vous

eBooks Traitement optique de l’information

Biomedical Signal and Image Processing

High Efficiency Video Coding and Other Emerging Standards

Kernel Methods for Pattern Analysis

Biomedical Signal Processing

Machine Learning and Deep Learning Techniques for Medical Image Recognition

Augmented Reality

Forensic Digital Image Processing

Activity, Behavior, and Healthcare Computing

Computer Vision and Image Analysis for Industry 4.0

Touchless Fingerprint Biometrics

Multi-Sensor and Multi-Temporal Remote Sensing

Image Analysis and Modeling in Ophthalmology

Mathematical Optics

Fourier Optics in Image Processing

Signal and Image Processing in Navigational Systems

Neural Networks, Machine Learning, and Image Processing

Handbook of Robust Low-Rank and Sparse Matrix Decomposition

Face Detection and Recognition

Building Feature Extraction with Machine Learning

Statistical Computing in Nuclear Imaging

Multimedia and Multimodal Intelligence for Sustainable Development

Modern Metaheuristics in Image Processing

Multimedia Ontology

Robust Biometric Systems and Efficient Data Preservation