Probabilistic Graphical Models for Computer Vision.
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Book Overview Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and tea...
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 Details Format: Hardcover | Pages: 294 | Language: English | Publisher: ACADEMIC PR INC | ISBN: 012803467X
FormatHardcover
Pages294
LanguageEnglish
ISBN012803467X
EAN9780128034675
PublisherACADEMIC PR INC
Publication Date2019-12-20
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeHARD COVER BOOKS
Weight1.68 Pounds
Length9.25 Inches
Width7.5 Inches
Height0.75 Inches
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