Spezielle Kapitel aus Intelligente Systeme:
Pattern Recognition and Classification

344.009, KV, 3std., SS 2005

Univ.-Prof. Dr. Gerhard Widmer

Department of Computational Perception

Johannes Kepler Universität Linz

This class will be taught in English

TIME: Tuesday, 12:00 - 14:30

START: Tuesday, March 8, 2005



The lecture gives an overview of standard methods in the field of pattern recognition, pattern classification, and statistical data modelling. It covers some of the most basic concepts and methods in this field, and demonstrates the application of these methods in a variety of complex tasks, mainly from the area of intelligent music processing and music information retrieval (which is the institute's special research focus)
The lecture is accompanied with a practical track where the students carry out a pattern classification project of real-world complexity in several stages, from feature definition and extraction to the training of various classifiers and systematic experimentation.
After attending the class, the students should have a basic understanding of the central issues in pattern classification, should be able to read the scientific literature on learning and pattern classification, and should have acquired the basic skills needed to realise and evaluate pattern classification systems.


Basic notions and methods of pattern classification and statistical data modelling, including


PDF versions of the powerpoint slides used in the lecture will be made available electronically.

Interested students may also want to consult the following books:

R. Duda, P. Hart, & D. Stork (2001). Pattern Classification (2nd Edition). NY: Wiley & Sons.

S. Russell & P. Norvig (2002). Artificial Intelligence: A Modern Approach (2nd Edition). Prentice-Hall.

QUESTIONS etc. to:

Gerhard Widmer
Tel. 2468-1510
gerhard dot widmer at jku dot at