This comprehensive introduction to the Markov modeling framework describes the underlying theoretical concepts of Markov models as used for sequential data, covering Hidden Markov models and Markov chain models. It also presents the techniques necessary to build successful systems for practical applications. In addition, the book demonstrates the actual use of the technology in the three main application areas of pattern recognition methods based on Markov-Models: speech recognition, handwriting recognition, and biological sequence analysis. The book is suitable for experts as well as for practitioners.

About the Author

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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