SGN-2506 INTRODUCTION TO PATTERN RECOGNITION, 4 cr
|
Person responsible
Researcher Edisson Albán and Docent Ulla Ruotsalainen
Lecturers
Edisson Albán, Researcher, edisson.alban@tut.fi
Lecture room and time
Per II: Tuesday 12 - 14, TB222
Per II: Thursday 10 - 12, TB222
Implementation rounds
Implementation 1
Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | Language of instruction | |
Lecture | - | 4 h/week | - | - | - | - | In English only |
Exercise | - | 4 h/week | - | - | - | - | In English only |
Exam | In English only |
Objectives
The goal is to introduce basic methods and principles of pattern recognition.
Contents
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Basics of multivariate probability and statistics, class conditional density function, Bayesian decision theory. |   | |
2. | Estimation of the parameters of the density function from training data. |   | |
3. | Nonparametric techniques for estimation of the density function and pattern classification. |   | |
4. | Algorithms for unsupervised classification. |   |
Requirements for completing the course
Final examination and active participation in exercises.
Assessment criteria
In order to pass the course the student has to pass the exam and make at least 10% of the exercises. There will be bonus from extra exercises. To pas the exam at least half of the maximum points of the exam has to be reached. Lecture notes and exercises are enough to good grade in exam.
Study material
Type | Name | Author | ISBN | URL, edition, availablitity... | Exam material | Language |
Book | "Pattern Classification" | Duda RO, Hart PE, Stork DG | 2nd edition, Wiley, 2001 | No | English | |
Summary of lectures | "Introduction to Pattern Recognition" | Jussi Tohka | Yes | English |
Prerequisites
Number | Name | Credits | M/R |
MAT-20500 | Probability Calculus | 3 | Recommendable |
SGN-1200 | Signal Processing Methods | 4 | Recommendable |
SGN-1250 | Signal Processing Applications | 4 | Recommendable |
Other comments
Courses SGN-2506 and SGN-2500 are mutually exclusive. Only one can be taken.
Correspondence of content
8001652 Introduction to Pattern Recognition
Last modified | 25.08.2005 |
Modified by | Antti Niemistö |