Gernot A. Fink

eBook, PDF

Markov Models for Pattern Recognition (eBook, PDF)

From Theory to Applications

Beschreibung

Markov models are used to solve challenging pattern recognition problems on the basis of sequential data, such as automatic speech or handwriting recognition. 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.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 5.25MB

Barrierefreiheit

• Text-to-Speech

Autor

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.

Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 248
• Erscheinungstermin: 17. Oktober 2007
• Englisch
• ISBN-13: 9783540717706
• Artikelnr.: 37369082

Rezensionen

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)