Computer Vision & Pattern Recognition
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Fundamentals of Digital Forensics (A Guide to Theory, Research and Applications) (3rd Edition)
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Industrial Image Processing (Visual Quality Control in Manufacturing) (2nd Edition)
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Markov Models for Pattern Recognition (From Theory to Applications) (2nd Edition)
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Support Vector Machines for Pattern Classification (2nd Edition)
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Introduction to Biometrics (2nd Edition)
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Learning OpenCV 4 Computer Vision with Python 3 (Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition)
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Magnetic Resonance Brain Imaging (Modelling and Data Analysis Using R) (2nd Edition)
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Machine Learning for Audio, Image and Video Analysis (Theory and Applications) (2nd Edition)
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Handbook of Face Recognition (2nd Edition)
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