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This book focuses on next generation sequencing, which is completely changing how we examine organisms and has a great impact on the areas of biomedical research and disease diagnosis.
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This book offers an overview of the field of continuous biometric authentication systems, which capture and continuously authenticate biometrics from user devices. This book first covers the traditional methods of user authentication and discusses how such techniques have become cumbersome in the world of mobile devices and short usage sessions. The concept of continuous biometric authentication systems is introduced and their construction is discussed. The different biometrics that these systems may utilise (e.g.: touchscreen-gesture interactions) are described and relevant studies surveyed. It also surveys important considerations and challenges. This book brings together a wide variety of key motivations, components and advantages of continuous biometric authentication systems. The overview is kept high level, so as not to limit the scope to any single device, biometric trait, use-case, or scenario. Therefore, the contents of this book are applicable todevices ranging from smartphones to desktop computers, utilising biometrics ranging from face recognition to keystroke dynamics. It also provides metrics from a variety of existing systems such that users can identify the advantages and disadvantages of different approaches. This book targets researchers and lecturers working in authentication, as well as advanced-level students in computer science interested in this field. The book will also be of interest to technical professionals working in cyber security.
Biometric identification. --- Pattern recognition systems. --- Data protection --- Biometrics. --- Automated Pattern Recognition. --- Privacy. --- Law and legislation.
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This book shows how different types of motion can be disambiguated into their components in a richer way than that currently possible in computer vision. Previous research of motion analysis has generally not yet considered the basic nature of higher orders of motion such as acceleration. Hence, this book introduces an approximation of the acceleration field using established optical flow techniques. Further, acceleration is decomposed into radial and tangential based on geometry and propagated as a general motion descriptor; this book shows the capability for differentiating different types of motion both on synthesized data and real image sequences. Beyond acceleration, the higher orders of motion flow and their continuant parts are investigated for further revealing the chaotic motion fields. Naturally, it is possible to extend this notion further: to detect higher orders of image motion. In this respect, this book shows how jerk and snap can be obtained from image sequences. The derived results on test images and heel strike detection in gait analysis illustrate the ability of higher-order motion, which provide the basis for the following research and applications in the future. We hope that the publication of this book will bring a new perspective to researchers and graduate students in the field of video analysis in computer vision.
Computer vision. --- Pattern recognition systems. --- Image processing. --- Automated Pattern Recognition. --- Image Processing. --- Computer Vision.
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This book constitutes the proceedings of the 16th Mexican Conference on Pattern Recognition, MCPR 2024, held in Xalapa, Mexico, during June 19–22, 2024, Proceedings. The 36 full papers were carefully reviewed and selected from 68 submissions. The papers are organized in subject areas as follows: Pattern Recognition and Machine Learning Techniques; Computer Vision; Medical Applications of Pattern Recognition; Language Processing and Recognition; Deep Learning and Neural Networks.
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This book constitutes the thoroughly refereed and revised selected papers from the 12th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2023, held in Lisbon, Portugal, during February 22–24, 2023. The 28 full papers and 42 short papers included in this book were carefully reviewed and selected from 157 submissions. They were organized in topical sections as follows: theory and methods and applications.
Pattern recognition systems. --- Machine learning. --- Computer networks. --- Application software. --- Computer engineering. --- Automated Pattern Recognition. --- Machine Learning. --- Computer Communication Networks. --- Computer and Information Systems Applications. --- Computer Engineering and Networks. --- Pattern perception --- Pattern recognition systems
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This two-volume set constitutes the refereed proceedings of the 8th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2023, held in Beijing, China, in November 2023. The 56 papers presented were thoroughly reviewed and selected from the 118 qualifies submissions. They are organized in the topical sections on intelligent information processing; intelligent optimization and decision-making; pattern recognition and computer vision; advanced control; multi-agent systems; robotics.
Artificial intelligence. --- Computer vision. --- Robotics. --- Machine learning. --- Pattern recognition systems. --- Artificial Intelligence. --- Computer Vision. --- Machine Learning. --- Automated Pattern Recognition.
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This two-volume set constitutes the refereed proceedings of the 8th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2023, held in Beijing, China, in November 2023. The 56 papers presented were thoroughly reviewed and selected from the 118 qualifies submissions. They are organized in the topical sections on intelligent information processing; intelligent optimization and decision-making; pattern recognition and computer vision; advanced control; multi-agent systems; robotics.
Artificial intelligence. --- Computer vision. --- Robotics. --- Machine learning. --- Pattern recognition systems. --- Artificial Intelligence. --- Computer Vision. --- Machine Learning. --- Automated Pattern Recognition.
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This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and technology for a variety of applications. It offers a tutorial for the reader to learn wide-ranging conceptual modeling and programming tools that animate deep learning applications. The book is especially directed to students taking senior level undergraduate courses and to industry practitioners interested in learning about and applying deep learning methods to practical real-world problems. The unique features of this book are: Easy-to-understand description of the multiple facets of design, development and deployment of deep learning networks; Practical tools that facilitate understanding of underlying technology; Covers wide-ranging conceptual modeling and programming tools that animate deep learning applications.
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This book provides the theory, methodology, and uses of scanning technologies for the application of autonomous systems. The authors provide readers with an understanding of different technologies and methods to perform scanning technologies and their optimal application depending on the kind of autonomous system. Also, the book presents a compilation of original high-quality contributions and research results from worldwide authors on emerging new autonomous systems based on different scanning technologies. This book is a valuable reference for engineering professionals and the scientific community. Presents novel research results in scanning technologies for autonomous systems; Includes detailed explanations of established mature information around navigation, area mapping and data processing; Provides scanning technologies and methodologies for a variety of applications.
Optical pattern recognition. --- Control engineering. --- Robotics. --- Automation. --- Pattern recognition systems. --- Machine learning. --- Control, Robotics, Automation. --- Automated Pattern Recognition. --- Machine Learning.
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