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251-0553-00L 5 Credits

Feature Extraction: Foundations and Applications

Feature extraction: foundations and applications

Lecturers & Examiners: Prof. em. Dr. Joachim M. Buhmann, Dr. Isabelle Guyon
VVZ CR n/a

Last Updated: 2026-02-05 14:59:53

Abstract

Feature extraction is an essential pre-processing step to pattern recognition and machine learning problems. Classical algorithms of feature construction and feature selection will be introduced, with applications in image processing, text processing, genomics and proteomics, and drug screening.

Resources

Literature

A pdf version of the book "Feature Extraction Foundations and Applications", I. Guyon et al Eds., to appear in Springer, will be made available to students.

General Information

Language
English (lecture), German (exercise)
Frequency
Yearly recurring

Examination

Type
end-of-semester examination

Course Components

Type Title Time & Place Hours
lecture Feature extraction: foundations and applications
  • Thu 10:15-12:00 (CAB G 59)
2 h weekly
exercise Feature extraction: foundations and applications
  • Thu 12:15-13:00 (CAB G 59)
1 h weekly

Offered In