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Probabilistic Graphical Models for Computer Vision. by Qiang Ji 9780128034675

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9780128034675
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9780128034675

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Description

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.

Book Information
ISBN 9780128034675
Author Qiang Ji
Format Hardback
Page Count 294
Imprint Academic Press Inc
Publisher Elsevier Science Publishing Co Inc
Weight(grams) 790g

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