
It is all about advance teaching for undergraduate and graduate Student including electrical and electronics engineering, computer engineering, computer science and informatics. It present various pattern recognition tasks in a unified way including image analysis, speech processing and communication application. The chapter starts with the bas8ics and move progressively to more advanced topics and reviews up-to-date techniques. Computer exercises are given at the end of each chapters and a solution manual is available. See below topics:
1. Classifiers based on Bayes Decision Theory
2. Linear Classifiers
3. Nonlinear Classifiers
4. Feature Selection
5. Feature generation 1: linear transforms
6. Feature generation II
7. Template matching
8. Context-dependent classification
9. System Evaluation
10. Clustering: basic concept
11. clustering algorithms 1: Sequential
12. Clustering Algorithms II: Hierarchical Algorithms
13. Clustering Algorithms III: Schemes Based on function Optimization
14. Clustering Algorithms IV
15. Cluster Validity
JUST CLICK TO DOWNLOAD
http://rapidshare.de/files/21349366/THEODORIDIS__S.__2002_._Pattern_Recognition__2nd_ed._.rar
