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Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Taschenbuch. Etat : Neu. Neuware - In an era where artificial intelligence and computational imaging are transforming industries, Stochastic Processes and Pattern Recognition in Image Processing serves as a comprehensive guide to mastering probabilistic models, image segmentation, and pattern recognition techniques.This book explores the intersection of stochastic processes and computer vision, bridging fundamental mathematical theories with real-world applications. Covering topics such as Markov random fields, Bayesian inference, probabilistic deep learning, and graph-based segmentation, this book is designed to provide both students and professionals with the knowledge and tools necessary to build robust image processing algorithms.Whether you're an academic researcher, a machine learning engineer, or an AI enthusiast, this book offers: ? In-depth explanations of stochastic models used in image analysis? Step-by-step mathematical formulations and their practical implementations? Real-world applications in medical imaging, autonomous systems, and remote sensing? Hands-on techniques for enhancing object detection, segmentation, and classificationWith a structured approach, practical examples, and advanced methodologies, this book is an indispensable resource for anyone looking to explore the power of probabilistic reasoning in image processing.…

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.