by Qiang Ji (Author)
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Publisher : Academic Press; 1st edition (December 27, 2019)
Language : English
Hardcover : 294 pages
ISBN-10 : 012803467X
ISBN-13 : 9780128034675
Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants.
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