Markov Models for Pattern Recognition, 9781447171331
Paperback
describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models;

Markov Models for Pattern Recognition

from theory to applications

$255.97

  • Paperback

    276 pages

  • Release Date

    27 August 2016

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Summary

This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; c…

Book Details

ISBN-13:9781447171331
ISBN-10:1447171330
Author:Gernot A. Fink
Publisher:Springer London Ltd
Imprint:Springer London Ltd
Format:Paperback
Number of Pages:276
Edition:2nd
Release Date:27 August 2016
Weight:4.45kg
Dimensions:235mm x 155mm
Series:Advances in Computer Vision and Pattern Recognition
What They're Saying

Critics Review

From the book reviews:

“The book is highly appropriate for researchers and practitioners dealing with pattern recognition in general and speech, character and handwriting recognition sequences, in particular.” (Catalin Stoean, zbMATH 1307.68001, 2015)

About The Author

Gernot A. Fink

Prof. Dr.-Ing. Gernot A. Fink is Head of the Pattern Recognition Research Group at TU Dortmund University, Dortmund, Germany. His other publications include the Springer title Markov Models for Handwriting Recognition.

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