Markov Models for Pattern Recognition: From Theory to Applications

Gernot A. Fink

ISBN 10: 1447171330 / ISBN 13: 9781447171331

Editore: Springer London Ltd, 2016

New copy - Usually dispatched within 7-11 working days. Codice articolo B9781447171331

Riassunto:

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.

Informazioni sull?autore:

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.

Dati bibliografici

Titolo: Markov Models for Pattern Recognition: From ...
Casa editrice: Springer London Ltd
Data di pubblicazione: 2016
Legatura: Paperback / softback
Condizione: New