8001652
INTRODUCTION TO PATTERN RECOGNITION,
INTRODUCTION TO PATTERN RECOGNITION, 2 ov
Lecturer info
JUSSI TOHKA
Lectures and exercises:
Lectures 28h, Exercises 14h.
Weekly teaching / period |
|
|
|
|
|
Lectures (h): |
2+ |
2 |
- |
- |
- |
Exercises (h): |
1+ |
1 |
- |
- |
- |
Content of the course
The goal is to introduce basic methods and principles of pattern recognition. Basics of multivariate probability and statistics. Bayesian decision theory. Parameter estimation from training data. Non-parametric techniques for pattern classification. Algorithms for unsupervised classification.
Requirements
Final examination and active participation in exercises.
Literature
Duda, Hart & Stork, "Pattern Classification", 2nd edition, Wiley, 2001.
Information on prerequisites
8000253 or corresponding knowledge. 73050 is useful although the required background on statistics is reviewed during the course.
Prerequisites
Number |
Name |
|
|
8000253 |
3 |
Obl. |
|
73030 |
5 |
Recomm. |
|
73035 |
5 |
Recomm. |
|
73050 |
3 |
Recomm. |