Markov Models for Pattern Recognition : From Theory to Applications

Markov Models for Pattern Recognition : From Theory to Applications

Author
Gernot A. Fink
Publication Year
2008
Publisher
Springer
Language
English
Document Type
Book
Faculty / Subject Heading
Computer Science

Describes the underlying theoretical concepts - covering Hidden Markov models and Markov chain models - and presents the techniques and algorithmic solutions essential to creating real world applications. The actual use of Markov models in their three main application areas - namely speech recognition, handwriting recognition, and biological sequence analysis - is presented with examples of successful systems.


Keywords: Computer science / Biological Sequence Analysis / Hidden Markov Model / Markov Model / Markov-Models / Pattern Recognition / Algorithms / Cognition / Handwriting recognition / Modeling / Optimization / Speech recognition / Pattern Recognition / Image Processing and Computer Vision / Natural Language Processing (NLP) / Artificial intelligence