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Markov Models for Pattern Recognition (2nd Ed., Softcover reprint of the original 2nd ed. 2014) From Theory to Applications Advances in Computer Vision and Pattern Recognition Series

Langue : Anglais

Auteur :

Couverture de l’ouvrage Markov Models for Pattern Recognition
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.

Introduction

Application Areas

Part I: Theory

Foundations of Mathematical Statistics

Vector Quantization and Mixture Estimation

Hidden Markov Models

n-Gram Models

Part II: Practice

Computations with Probabilities

Configuration of Hidden Markov Models

Robust Parameter Estimation

Efficient Model Evaluation

Model Adaptation

Integrated Search Methods

Part III: Systems

Speech Recognition

Handwriting Recognition

Analysis of Biological Sequences

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.

Thoroughly revised, updated and expanded new edition

Examines pattern recognition systems from the perspective of Markov models, demonstrating how the models can be used in a range of applications

Places special emphasis on practical algorithmic solutions

Includes supplementary material: sn.pub/extras

Date de parution :

Ouvrage de 276 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 60,12 €

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Date de parution :

Ouvrage de 276 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 84,39 €

Ajouter au panier