Books in Computer vision and pattern recognition

1-10 of 71 results in All results

Advanced Sensors for Smart Healthcare

• 1st Edition
• January 1, 2025
• Tuan Anh Nguyen
• English
• Paperback 978-0-443-24790-3

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• eBook 978-0-443-24791-0

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Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insight and access. Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency. Advanced Sensors for Smart Healthcare shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor their well-being and make informed decisions about their treatment. Written by experts in the field, Advanced Sensors for Smart Healthcare, sits alongside companion volume, Sensor Networks for Smart Hospitals, and is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients.

Sensor Networks for Smart Hospitals

• 1st Edition
• January 1, 2025
• Tuan Anh Nguyen
• English
• Paperback 978-0-443-36370-2

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• eBook 978-0-443-36371-9

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Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insight and access. Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency. Sensor Networks for Smart Hospitals, together with companion volume Advanced Sensors for Smart Healthcare, shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor their well-being and make informed decisions about their treatment. Written by experts in the field, Sensor Networks for Smart Hospitals is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients.

Computational Knowledge Vision

• 1st Edition
• August 19, 2024
• Wenbo Zheng + 1 more
• English
• Paperback 978-0-443-21619-0

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• eBook 978-0-443-21618-3

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Computational Knowledge Vision: The First Footprints presents a novel, advanced framework which combines structuralized knowledge and visual models. In advanced image and visual perception studies, a visual model's understanding and reasoning ability often determines whether it works well in complex scenarios. This book presents state-of-the-art mainstream vision models for visual perception. As computer vision is one of the key gateways to artificial intelligence and a significant component of modern intelligent systems, this book delves into computer vision systems that are highly specialized and very limited in their ability to do visual reasoning and causal inference.Questions naturally arise in this arena, including (1) How can human knowledge be incorporated with visual models? (2) How does human knowledge promote the performance of visual models? To address these problems, this book proposes a new framework for computer vision–computational knowledge vision.

Iris and Periocular Recognition using Deep Learning

• 1st Edition
• June 12, 2024
• Ajay Kumar
• English
• Paperback 978-0-443-27318-6

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• eBook 978-0-443-27319-3

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This book systematically explains the fundamental and most advanced techniques for ocular imprint-based human identification, with many applications in sectors such as healthcare, online education, e-business, metaverse, and entertainment. This is the first-ever book devoted to iris recognition that details cutting-edge techniques using deep neural networks. This book systematically introduces such algorithmic details with attractive illustrations, examples, experimental comparisons, and security analysis. It answers many fundamental questions about the most effective iris and periocular recognition techniques.

Intelligent Fractal-Based Image Analysis

• 1st Edition
• May 27, 2024
• Soumya Ranjan Nayak + 3 more
• English
• Paperback 978-0-443-18468-0

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• eBook 978-0-443-18469-7

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Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision provides insights into the current strengths and weaknesses of different applications as well as research findings on fractal graphics in engineering and science applications. The book aims to improve the exchange of ideas and coherence between various core computing methods and highlights the relevance of related application areas for advanced as well as novice-user application. The book presents core concepts, methodological aspects, and advanced feature opportunities, focusing on major, real-time applications in engineering and health science. It will appeal to researchers, data scientists, industry professionals, and graduate students.Fractals are infinite, complex patterns used in modeling physical and dynamic systems. Fractal theory research has increased across different fields of applications including engineering science, health science, and social science. Recent literature shows the vital role fractals play in digital image analysis, specifically in biomedical image processing. Fractal graphics is an interdisciplinary field that deals with how computers can be used to gain high-level understanding from digital images. Integrating artificial intelligence with fractal characteristics has resulted in new interdisciplinary research in the fields of pattern recognition and image processing analysis.

Intelligent Algorithms

• 1st Edition
• May 25, 2024
• Han Huang + 1 more
• English
• Paperback 978-0-443-21758-6

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• eBook 978-0-443-21759-3

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Intelligent Algorithms: Theory and Practice discusses the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms. In five chapters, the book covers (1) New methods of intelligent algorithm computation time analysis; (2)Application of intelligent algorithms in computer vision; (3) Application of intelligent algorithms in logistics scheduling; (4) Application of intelligent algorithms in software testing; and (5) Application of intelligent algorithm in multi-objective optimization.The content of each chapter is supported by papers published in top journals. The book's authors introduce the work of each part, which mainly includes a brief introduction (mainly for readers to understand) and academic discussion (rigorous theoretical and experimental support), in a vivid and interesting way through excellent pictures and literary compositions. To help readers learn and make progress together, each part of this book provides relevant literature, code, experimental data, and so on.

Machine Learning with Noisy Labels

• 1st Edition
• February 23, 2024
• Gustavo Carneiro
• English
• Paperback 978-0-443-15441-6

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• eBook 978-0-443-15442-3

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Machine Learning and Noisy Labels: Definitions, Theory, Techniques and Solutions provides an ideal introduction to machine learning with noisy labels that is suitable for senior undergraduates, post graduate students, researchers and practitioners using, and researching, machine learning methods. Most of the modern machine learning models based on deep learning techniques depend on carefully curated and cleanly labeled training sets to be reliably trained and deployed. However, the expensive labeling process involved in the acquisition of such training sets limits the number and size of datasets available to build new models, slowing down progress in the field. This book defines the different types of label noise, introduces the theory behind the problem, presents the main techniques that enable the effective use of noisy-label training sets, and explains the most accurate methods.

Engineering Simulation and its Applications

• 1st Edition
• February 1, 2024
• Xin-She Yang
• English
• Paperback 978-0-443-14084-6

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• eBook 978-0-443-14085-3

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Engineering Simulation and its Applications: Algorithms and Numerical Methods covers the essential quantitative methods needed for engineering simulations, introducing optimization techniques that can be used in the design of systems to minimize cost and maximize efficiency. This book serves as a reference and textbook for courses such as engineering simulation, design optimization, mathematical modeling, numerical methods, data analysis, and engineering management. Diverse coverage of the various subject areas within the field puts the essential topics into a single book for easy access for graduates and senior undergraduates. It also serves as a reference book for lecturers and industrial practitioners.

High-Order Models in Semantic Image Segmentation

• 1st Edition
• June 16, 2023
• Ismail Ben Ayed
• English
• Hardback 978-0-12-805320-1

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• eBook 978-0-12-809229-3

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High-Order Models in Semantic Image Segmentation reviews recent developments in optimization-based methods for image segmentation, presenting several geometric and mathematical models that underlie a broad class of recent segmentation techniques. Focusing on impactful algorithms in the computer vision community in the last 10 years, the book includes sections on graph-theoretic and continuous relaxation techniques, which can compute globally optimal solutions for many problems. The book provides a practical and accessible introduction to these state-of -the-art segmentation techniques that is ideal for academics, industry researchers, and graduate students in computer vision, machine learning and medical imaging.

Visualization, Visual Analytics and Virtual Reality in Medicine

• 1st Edition
• May 15, 2023
• Bernhard Preim + 3 more
• English
• Paperback 978-0-12-822962-0

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• eBook 978-0-12-823106-7

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Visualization, Visual Analytics and Virtual Reality in Medicine: State-of-the-art Techniques and Applications describes important techniques and applications that show an understanding of actual user needs as well as technological possibilities. The book includes user research, for example, task and requirement analysis, visualization design and algorithmic ideas without going into the details of implementation. This reference will be suitable for researchers and students in visualization and visual analytics in medicine and healthcare, medical image analysis scientists and biomedical engineers in general. Visualization and visual analytics have become prevalent in public health and clinical medicine, medical flow visualization, multimodal medical visualization and virtual reality in medical education and rehabilitation. Relevant applications now include digital pathology, virtual anatomy and computer-assisted radiation treatment planning.