[PDF.08nv] Computer Vision: Models, Learning, and Inference

Computer Vision: Models, Learning, and Inference

[PDF.zq17] Computer Vision: Models, Learning, and Inference

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 | #164749 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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||4 of 4 people found the following review helpful.| One of the BEST books I have ever read|By Arash|My expertise is in signal-image-video processing, video compression, digital communications, and information theory. I have read many books in all the mentioned areas; Simon Prince's book is one of the best books I have ever read. The book is written beautifully and it is evident that Prince has spent a lot of time in writing the| |"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...

You easily download any file type for your device.Computer Vision: Models, Learning, and Inference   |  Dr Simon J. D. Prince. A good, fresh read, highly recommended.

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