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Probabilistic Graphical Models for Computer Vision.

By (author) Qiang Ji

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normal price: R 3 849.95

Price: R 3 656.95

| book 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.

| product details |



Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | Elsevier Science Publishing Co Inc
Published date | 13 Dec 2019
Language |
Format | Hardback
Pages | 294
Dimensions | 235 x 191 x 0mm (L x W x H)
Weight | 770g
ISBN | 978-0-1280-3467-5
Readership Age |
BISAC | technology / engineering / general

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