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Markov Models for Pattern Recognition: From Theory to Applications [Hardcover]

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Item description for Markov Models for Pattern Recognition: From Theory to Applications by Gernot A. Fink...

Markov models are used to solve challenging pattern recognition problems on the basis of sequential data as, e.g., automatic speech or handwriting recognition. This comprehensive introduction to the Markov modeling framework describes both the underlying theoretical concepts of Markov models - covering Hidden Markov models and Markov chain models - as used for sequential data and presents the techniques necessary to build successful systems for practical applications.

Additionally, the actual use of the technology in the three main application areas of pattern recognition methods based on Markov- Models - namely speech recognition, handwriting recognition, and biological sequence analysis -are demonstrated.

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Item Specifications...

Pages   248
Est. Packaging Dimensions:   Length: 9.37" Width: 6.3" Height: 0.71"
Weight:   1.32 lbs.
Binding  Hardcover
Release Date   Nov 16, 2007
Publisher   Springer
ISBN  3540717668  
ISBN13  9783540717669  

Availability  103 units.
Availability accurate as of Oct 28, 2016 11:58.
Usually ships within one to two business days from La Vergne, TN.
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More About Gernot A. Fink

Register your artisan biography and upload your photo! Gernot A. Fink earned his diploma in computer science from the
University of Erlangen-Nuremberg, Erlangen, Germany, in 1991.
He recieved a Ph.D. degree in computer science in 1995 and
the venia legendi in applied computer science in 2002 both
from Bielefeld University, Germany.
Currently, he is professor for Pattern Recognition in Embedded Systems
at the University of Dortmund, Germany, where he also heads the
Intelligent Systems Group at the Robotics Research Institute.
His reserach interests lie in the development and application of
pattern recognition methods in the fields of man machine interaction,
multimodal machine perception including speech and image processing,
statistical pattern recognition, handwriting recognition, and the
analysis of genomic data.

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Product Categories

1Books > Special Features > New & Used Textbooks > Computer Science & Information Systems > Artificial Intelligence
2Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Computer Mathematics
3Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > General
4Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Human Vision & Language Systems
5Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Machine Vision
6Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Theory of Computing
7Books > Subjects > Computers & Internet > General
8Books > Subjects > Computers & Internet > Graphics & Illustration > General
9Books > Subjects > Computers & Internet > Software > Business > Speech Processing
10Books > Subjects > Computers & Internet > Software > Voice Recognition
11Books > Subjects > Health, Mind & Body > Self-Help > Handwriting Analysis

Reviews - What do customers think about Markov Models for Pattern Recognition: From Theory to Applications?

just what I needed!!!  Apr 8, 2008
Though, at times, it shows that the author is German (I mean, in the construction of statements), and the use of commas is a bit slack, I'm very impressed by the clarity (and also, by the practicality) of the exposition. I have not finished the book yet, but nearing the first half of it, almost every page teaches me, of clarifies me, some useful concept. I've tried my hand at Hidden Markov Models with some classical papers (e.g. Rabiner) and books (e.g. MacDonald and Zucchini) ... I wish I had started here.

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