Computer Vision & Pattern Recognition
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Multiple-Aspect Analysis of Semantic Trajectories
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AI, Ethical Issues and Explainability-Applied Biometrics
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Large Vision-Language Models: Pre-Training, Prompting, and Applications
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Foundations of 3D Graphics Programming
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Advances in Augmented Reality and Virtual Reality
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Machine Learning Fundamentals
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Advanced Deep Learning With Python
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Geometry Fundamentals of Computer Vision
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Neural Network Computer Vision With OpenCV 5
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Pattern Recognition and Computer Vision in the New AI Era
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Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models
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Computer Vision and Applications
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Medical Imaging Systems: An Introductory Guide
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