Markov Models for Pattern Recognition From Theory to Applications /

• Main Author: Fink, Gernot A. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London : Imprint: Springer, 2014.
• Edition: 2nd ed. 2014.
• Series: Advances in Computer Vision and Pattern Recognition,
• Subjects: Computer science.; Artificial intelligence.; Computational linguistics.; Image processing.; Pattern recognition.; Computer Science.; Pattern Recognition.; Image Processing and Computer Vision.; Language Translation and Linguistics.; Artificial Intelligence (incl. Robotics).

Markov models are extremely useful as a general, widely applicable tool for many areas in statistical pattern recognition. This unique text/reference places the formalism of Markov chain and hidden Markov models at the very center of its examination of current pattern recognition systems, demonstrat...

Table of Contents:

• Introduction
• Application Areas
• Part I: Theory
• Foundations of Mathematical Statistics
• Vector Quantization and Mixture Estimation
• Hidden Markov Models
• N-Gram Models
• Part II: Practice
• Computations with Probabilities
• Configuration of Hidden Markov Models
• Robust Parameter Estimation
• Efficient Model Evaluation
• Model Adaptation
• Integrated Search Methods
• Part III: Systems
• Speech Recognition
• Handwriting Recognition
• Analysis of Biological Sequences.