Markov Models For Pattern Recognition: From Theory To Applications (Advances In Computer Vision And Pattern Recognition) - 9781447171331

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.

• | Author: Gernot A. Fink
• | Publisher: Springer
• | Publication Date: Aug 27, 2016
• | Number of Pages: 289 pages
• | Language: English
• | Binding: Paperback/Computers
• | ISBN-10: 1447171330
• | ISBN-13: 9781447171331