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Markov Models for Pattern Recognition From Theory to Applications /

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 - cover...

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Main Author: Fink, Gernot A. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Subjects:
Pattern recognition.
Optical data processing.
Natural language processing (Computer science).
Artificial intelligence.
Pattern Recognition.
Image Processing and Computer Vision.
Natural Language Processing (NLP).
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-540-71770-6

Internet

https://doi.org/10.1007/978-3-540-71770-6

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