Spezielle Kapitel aus Intelligente Systeme:
344.009, KV, 3std., SS 2005
Pattern Recognition and Classification
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
PLACE: HS 12
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
The lecture is accompanied with a practical track where the
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.
notions and methods of pattern classification and statistical data
PDF versions of the powerpoint slides used in the lecture will be made
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 dot widmer at jku dot at