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Academic Press Library in Signal Processing by Rama Chellappa, Sergios Theodoridis

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Chapter 18

Introduction to Probabilistic Graphical Models

Franz Pernkopf, Robert Peharz and Sebastian Tschiatschek,    Graz University of Technology, Laboratory of Signal Processing and Speech Communication Inffeldgasse 16c, 8010 Graz, Austria, pernkopf@tugraz.at, robert.peharz@tugraz.at, tschiatschek@tugraz.at

Abstract

Over the last decades, probabilistic graphical models have become the method of choice for representing uncertainty. They are used in many research areas such as computer vision, speech processing, time-series and sequential data modeling, cognitive science, bioinformatics, probabilistic robotics, signal processing, communications and error-correcting coding theory, and in the area of artificial intelligence.

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