Opinto-opas 2005-2006

SGN-2506 INTRODUCTION TO PATTERN RECOGNITION, 4 cr
INTRODUCTION TO PATTERN RECOGNITION

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
(Academic Calender 2005-2006)

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.

  • Used assessment scale is numeric (1-5)
  • 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

    Course homepage

    Last modified 25.08.2005
    Modified byAntti Niemistö