Winter Term 2006/2007
Contact
Winter Term 2006/2007
Teaching winter term 2006/2007
Seminar "Elemente der Sprach- und Mustererkennung"
New: Some papers of interest can be downloaded here (access restricted to uni-oldenburg. de domain)
When? Thurdays, 12-14h (exceptions below)
Where? W2-1-143 (exceptions below)
| When? | Who? | What? |
| 26. Okt. 2006 | Jörn Anemüller | Introduction |
| 9. Nov. 2006 | Stephan Arlinghaus | Linear Prediction |
| 16. Nov. 2006 | moved to 20. Nov. 2006 | |
| 20. Nov. 2006, Monday time: 14-16h, room: W4-1-172 | Denis Extra | Perceptual Linear Prediction |
| 23. Nov. 2006 | Paul Mihai | Relative Spectra (RASTA) Processing of Speech |
| 30. Nov. 2006 | Jarek Puczylowski | Neural Networks and Linear Classification |
| 7. Dez. 2006 | Arne Meyer | Neural Networks and Non-Linear Classification |
| 14. Dez. 2006 | Udo Mittler | Principal Component Analysis and Factor Analysis |
| 21. Dez. 2006 | Daniel Visser | Clustering |
| 11. Jan. 2007 | Martin Klein-Hennig | Hidden Markov Models (HMM) |
| 18. Jan. 2007 | Vortrag entfällt! | |
| 25. Jan. 2007 | Termin verschoben wegen Krankheit | |
| 1. Feb. 2007 | Christopher Haut | Baum-Welch Learning for HMM |
| 8. Feb. 2007 | Jörn Anemüller | Independent Component Analysis |
Beamer presentations with latex
- Template for presentations using the latex beamer package
- Simple template for presentation with large fonts using latex
Literature
Most of the talks can be prepared based on chapters from:
- E. Alpaydin: Introduction to Machine Learning, MIT Press, 2004
- C. M. Bishop: Pattern Recognition an Machine Learning, Springer, 2006
- R. O. Duda, P. E. Hart, D. G. Stork: Pattern Classification, 2nd Ed., Wiley, 2001
For some of the topics more specialized literature is required, which can be obtained from me.
Advanced lab course in Physics: Experiment "Statistical Signal Classification"
Advanced lab course in Physics: Digital Signal Processing
(with V. Hohmann)