[PDF.07dn] Computer Vision: Models, Learning, and Inference

Computer Vision: Models, Learning, and Inference

[PDF.on17] Computer Vision: Models, Learning, and Inference

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 | #162694 in Books |  Cambridge University Press |  2012-06-18 | Original language:English | PDF # 1 |  9.96 x1.10 x6.97l,3.10 | File type: PDF | 598 pages

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||9 of 11 people found the following review helpful.| Great book|By Zdenek Kalal|Computer vision is very active field with increasing number of papers being published every year. While the new papers slowly push the knowledge boundary forward, it is often difficult to separate useful information from noise. At the same time, only a few core principles keep repeating over and over again. This book is absolutely brilliant at presen| |"Computer vision and machine learning have gotten married and this book is their child. It gives the machine learning fundamentals you need to participate in current computer vision research. It's really a beautiful book, showing everything clearly and intuiti

This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of...

You can specify the type of files you want, for your gadget.Computer Vision: Models, Learning, and Inference   |  Dr Simon J. D. Prince. I really enjoyed this book and have already told so many people about it!

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