Markov models for pattern recognition from theory to applications /
"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...
| Uniform Title: | Mustererkennung mit Markov-Modellen. English |
|---|---|
| Main Author: | Fink, Gernot A. |
| Other Authors: | SpringerLink (Online service) |
| Format: | eBook |
| Language: | English German |
| Published: |
London :
Springer,
2008.
London : 2008. |
| Physical Description: |
1 online resource (xii, 248 pages) : illustrations. |
| Subjects: |
Table of Contents:
- Application Areas
- Application Areas
- Theory
- Foundations of Mathematical Statistics
- Vector Quantization
- Hidden Markov Models
- n-Gram Models
- Practice
- Computations with Probabilities
- Configuration of Hidden Markov Models
- Robust Parameter Estimation
- Efficient Model Evaluation
- Model Adaptation
- Integrated Search Methods
- Systems
- Speech Recognition
- Character and Handwriting Recognition
- Analysis of Biological Sequences.