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1 of 1 people found the following review helpful
5.0 out of 5 stars Want to learn Bayesian modeling?, 15 May 2013
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P. Antoniou (Athens, GR) - See all my reviews
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This review is from: Computer Vision: Models, Learning, and Inference (Hardcover)
This book is a breath of fresh air in the machine learning field. Everything is being presented from a Bayesian point of view. Usual simple ML algorithms that are frequently just thrown out there in an encyclopedic list-like manner in other books, together with more advanced models, and no connection/thread is exposed between them, here are presented using a Bayesian hierarchical model formulation, that is used to explain how and WHY and WHERE several models work, and how they are connected. Each chapter ends with several applications and results of the models in the field of Machine Vision. The "pure" machine vision part of the book is a little more standard, but equally "fluidly" presented. Oh and did I mention that the graphs and figures are uber-explanatory? All in all, a great machine vision book, and even greater machine learning book.
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Computer Vision: Models, Learning, and Inference
Computer Vision: Models, Learning, and Inference by Dr Simon J. D. Prince (Hardcover - 18 Jun 2012)
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