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Pattern Theory: The Stochastic Analysis of Real-World Signals (Applying Mathematics)

David Mumford, Agnès Desolneux




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 | #545753 in Books |  A K Peters/CRC Press |  2010-08-15 |  2010-08-15 | Original language:English | PDF # 1 |  9.25 x6.00 x1.00l,1.56 | File type: PDF | 375 pages

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||3 of 15 people found the following review helpful.| A New Approach for Old Problem|By Rodrigo Guarino|Beyond Machine Learning techniques, Pattern Theory give to us a unified thought's framework about patterns. It's beautiful combination between theory and practice| ||required reading for any mathematician [involved] in the modeling complex and realistic signals|―Marco Loog, Nieuw Archief voor Wiskunde, December 2011 |The book comes with a large number of exercises and problems, some requiring computer programmi

Pattern theory is a distinctive approach to the analysis of all forms of real-world signals. At its core is the design of a large variety of probabilistic models whose samples reproduce the look and feel of the real signals, their patterns, and their variability. Bayesian statistical inference then allows you to apply these models in the analysis of new signals.

This book treats the mathematical tools, the models themselves, and the computational algorithms fo...

You easily download any file type for your gadget.Pattern Theory: The Stochastic Analysis of Real-World Signals (Applying Mathematics)   |  David Mumford, Agnès Desolneux. Just read it with an open mind because none of us really know.

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