Markov Models for Pattern Recognition: From Theory to Applications (Advances in Computer Vision and Pattern Recognition)

Fink, Gernot A.

ISBN 10: 1447163079 / ISBN 13: 9781447163077

Edité par Springer, 2014

A propos de cet article

N° de réf. du vendeur ABLIING23Mar2411530317739

Détails bibliographiques

• Titre: Markov Models for Pattern Recognition: From Theory to Applications (Advances in Computer Vision and Pattern Recognition)
• Éditeur: Springer
• Date de parution: 2014
• Langue: anglais
• ISBN à 10 chiffres: 1447163079
• ISBN à 13 chiffres: 9781447163077
• Reliure: Couverture rigide
• Édition: 2ème Édition
• État de l'article: New

A propos de ce titre

Synopsis

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.

À propos de l?auteur

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.