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Pattern Recognition by Matthias Nagel, Matthias Richter, Jürgen Beyerer

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3Bayesian decision theory

Up to now, this book has dealt with the question of how to select, define, and extract features from observed patterns of objects. In Figure 1.2, this is depicted as the first step of a pattern recognition system (first blue box) after the preparatory steps. From now on, our attention will be turned to the second step: how the features are used to assign objects to classes. Eventually, this task will be solved by classifiers.

Firstly, the entirety of classifiers can be divided into methods that use a probabilistic description of the problem and those which do not. The latter are considered in Chapter 7. The class of probabilistic methods is rather extensive, hence its discussion is divided into the Chapters 3 to 6. Under ...

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