Gernot A. Fink

Gebundenes Buch

Markov Models for Pattern Recognition

From Theory to Applications

Beschreibung

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; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; 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; reviews key applications of Markov models.

Autor

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.

Produktdetails

• Advances in Computer Vision and Pattern Recognition
• Verlag: Springer / Springer London / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4471-6307-7
• 2. Aufl.
• Seitenzahl: 292
• Erscheinungstermin: 28. Januar 2014
• Englisch
• Abmessung: 241mm x 160mm x 22mm
• Gewicht: 600g
• ISBN-13: 9781447163077
• ISBN-10: 1447163079
• Artikelnr.: 40034659