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Advances in Computer Vision and Pattern Recognition Ser.: Markov Models for Pattern Recognition : From Theory to Applications by Gernot A. Fink (2014, Hardcover)

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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.

Product Identifiers

Publisher
Springer London, The Limited
ISBN-10
1447163079
ISBN-13
9781447163077
eBay Product ID (ePID)
176441030

Product Key Features

Author
Gernot A. Fink
Publication Name
Markov Models for Pattern Recognition : from Theory to Applications
Format
Hardcover
Language
English
Series
Advances in Computer Vision and Pattern Recognition Ser.
Publication Year
2014
Type
Textbook
Number of Pages
Xiii, 276 Pages

Dimensions

Item Length
9.3in
Item Height
0.3in
Item Width
6.1in
Item Weight
21.4 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Q337.5
Edition Number
2
Reviews
From the book reviews: "The book is highly appropriate for researchers and practitioners dealing with pattern recognition in general and speech, character and handwriting recognition sequences, in particular." (Catalin Stoean, zbMATH 1307.68001, 2015)
Table of Content
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.
Copyright Date
2014
Topic
Signals & Signal Processing, Probability & Statistics / Stochastic Processes, Intelligence (Ai) & Semantics, Statistics, Computer Vision & Pattern Recognition, Speech & Audio Processing
Lccn
2014-930431
Dewey Decimal
006.4
Intended Audience
Scholarly & Professional
Dewey Edition
22
Illustrated
Yes
Genre
Computers, Technology & Engineering, Business & Economics, Mathematics

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item 1 Markov Models for Pattern Recognition: From Theor... by Fink, Gernot A. Hardback
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Advances in Computer Vision and Pattern Recognition Ser.: Markov Models for Pattern Recognition : From Theory to Applications by Gernot A. Fink (2014, Hardcover)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

All listings for this product

item 1 Markov Models for Pattern Recognition: From Theor... by Fink, Gernot A. Hardback

item 2 Markov Models for Pattern Recognition by Gernot Fink HC

item 3 Markov Models for Pattern Recognition : From Theory to Applications: By Fink 2nd

item 4 MARKOV MODELS FOR PATTERN RECOGNITION: FROM THEORY TO By Gernot A. Fink Mint

item 5 Markov Models for Pattern Recognition: From Theory to Applications by Fink: New

item 6 Markov Models for Pattern Recognition: From Theory to Applications by Gernot A.

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