Markov Models for Pattern Recognition : From Theory to Applications
Publication year: 2008
: 978-3-540-71770-6
This comprehensive introduction to the Markov modeling framework 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.
: 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
