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Pattern recognition is a fast growing area with applications in a widely diverse number of fields such as communications engineering, bioinformatics, data mining, content-based database retrieval, to name but a few. This new edition addresses and keeps pace with the most recent advancements in these and related areas. This new edition: a) covers Data Mining, which was not treated in the previous edition, and is integrated with existing material in the book, b) includes new results on Learning Theory and Support Vector Machines, that are at the forefront of today's research, with a lot of inter
Algorithms. --- Image processing -- Digital techniques. --- Optical pattern recognition. --- Pattern recognition systems. --- Pattern recognition systems --- Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision
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Pattern recognition systems --- Pattern perception --- Classification --- Computational complexity --- 681.3*I5 --- Pattern classification systems --- Pattern recognition computers --- Computer vision --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Complexity, Computational --- Electronic data processing --- Machine theory --- Knowledge, Classification of --- Information organization --- 681.3*I5 Pattern recognition (Computing methodologies) --- Pattern recognition (Computing methodologies)
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Major strides have been made in face processing in the last ten years due to the fast growing need for security in various locations around the globe. A human eye can discern the details of a specific face with relative ease. It is this level of detail that researchers are striving to create with ever evolving computer technologies that will become our perfect mechanical eyes. The difficulty that confronts researchers stems from turning a 3D object into a 2D image. That subject is covered in depth from several different perspectives in this volume.This book begins with a comprehensive
Human face recognition (Computer science) --- Biometric identification --- Research. --- Biometric person authentication --- Biometrics (Identification) --- Face recognition, Human (Computer science) --- Facial pattern recognition (Computer science) --- Anthropometry --- Identification --- Optical pattern recognition
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1 Introduction 2 Light and color 3 HDR image encodings 4 HDR image capture 5 Display devices 6 The human visual system and HDR tone mapping 7 Spatial tone reproduction 8 Frequency domain and gradient domain tone reproduction 9 Image-based lighting
Computer graphics. --- Computer vision. --- Electroluminescent display systems. --- High dynamic range imaging. --- Image processing. --- Optical pattern recognition. --- Photography --- Digital techniques. --- Printing processes. --- Computer vision --- Image processing --- Optical pattern recognition
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In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2006 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - einige in englischer Sprache - behandeln alle Bereiche der medizinischen Bildverarbeitung, insbesondere Algorithmen, Soft- und Hardwaresysteme sowie deren klinische Anwendungen.
Public health administration. --- Computer vision. --- Pattern recognition systems. --- Medical informatics. --- Health Administration. --- Computer Vision. --- Automated Pattern Recognition. --- Health Informatics. --- Image processing. --- Pattern perception.
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Computer architecture --- Pattern recognition systems --- Sensor networks. --- Networks, Sensor --- Detectors --- Context-aware computing --- Multisensor data fusion
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Computer vision. --- Electronic surveillance. --- Human behavior. --- Imaging systems. --- Optical pattern recognition. --- Signal processing.
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