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This book describes the latest advances in pulse signal analysis and their applications in classification and diagnosis. First, it provides a comprehensive introduction to useful techniques for pulse signal acquisition based on different kinds of pulse sensors together with the optimized acquisition scheme. It then presents a number of preprocessing and feature extraction methods, as well as case studies of the classification methods used. Lastly it discusses some promising directions for the future study and clinical applications of pulse signal analysis. The book is a valuable resource for researchers, professionals and postgraduate students working in the field of pulse diagnosis, signal processing, pattern recognition and biometrics. It is also useful for those involved in interdisciplinary research.

Pulse. --- Diagnosis --- Medicine, Chinese. --- Chinese medicine --- TCM (Medicine) --- Traditional Chinese medicine --- Traditional medicine --- Diseases --- Examinations, Medical (Diagnosis) --- Medical diagnosis --- Medical examinations (Diagnosis) --- Medical tests (Diagnosis) --- Clinical medicine --- Prognosis --- Symptoms --- Blood --- Heart --- Heart beat --- Physical diagnosis --- Vital signs --- Testing --- Circulation --- Optical pattern recognition. --- Medical records --- Pattern Recognition. --- Signal, Image and Speech Processing. --- Health Informatics. --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Medical care --- Pattern recognition. --- Signal processing. --- Image processing. --- Speech processing systems. --- Health informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Data processing

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This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition. .

Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Computer science --- patroonherkenning --- factoranalyse --- biomathematica --- biostatistiek --- computers --- biometrie --- computerkunde

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This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition. .

Biometrics (Biology). --- Pattern recognition. --- Biometrics. --- Pattern Recognition.

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This book introduces the applications of deep learning in various human centric visual analysis tasks, including classical ones like face detection and alignment and some newly rising tasks like fashion clothing parsing. Starting from an overview of current research in human centric visual analysis, the book then presents a tutorial of basic concepts and techniques of deep learning. In addition, the book systematically investigates the main human centric analysis tasks of different levels, ranging from detection and segmentation to parsing and higher-level understanding. At last, it presents the state-of-the-art solutions based on deep learning for every task, as well as providing sufficient references and extensive discussions. Specifically, this book addresses four important research topics, including 1) localizing persons in images, such as face and pedestrian detection; 2) parsing persons in details, such as human pose and clothing parsing, 3) identifying and verifying persons, such as face and human identification, and 4) high-level human centric tasks, such as person attributes and human activity understanding. This book can serve as reading material and reference text for academic professors / students or industrial engineers working in the field of vision surveillance, biometrics, and human-computer interaction, where human centric visual analysis are indispensable in analysing human identity, pose, attributes, and behaviours for further understanding.

Optical data processing. --- Pattern recognition. --- Biometrics (Biology). --- Image Processing and Computer Vision. --- Pattern Recognition. --- Biometrics. --- Computer vision. --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Statistical methods --- Optical equipment --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems

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Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Electronics --- Telecommunication technology --- Computer. Automation --- patroonherkenning --- factoranalyse --- optische communicatie --- optische elektronica --- biomathematica --- datacommunicatie