Markov Models for Pattern Recognition: From Theory to Applications
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Markov models are extremely useful as a general, widely applicable tool for many areas in statistical pattern recognition.
This unique text/reference places the formalism of Markov chain and hidden Markov models at the very center of its examination of current pattern recognition systems, demonstrating how the models can be used in a range of different applications. Thoroughly revised and expanded, this new edition now includes a more detailed treatment of the EM algorithm, a description of ...























