Main Study, 2 SWS Lecture, Summer Semester, Implementation in English

FORUM

Participating students can download the learning material and exercises from Stud.IP.
There is also a forum on the Stud.IP platform.

GOAL

The lecture treats fundamental methods of the pattern recognition.

Sample applications are the recognition of material defects, contents-based accesses to data bases, the analysis of machine writing and handwriting or the analysis of lip language

CONTENTS

• Basics of the Pattern Recognition
• MAP Classification, Bayes Classificator, Maximum Likelihood
• Polynomial Classification (Reduction of the Dimension, Confidence Illustration, Recursive Training)
• Multilevel Perceptrons (Training by Means of Gradient Descent Procedures)
• Radially basis Functions, Cluster Analysis