(Introduction to) Statistical Classification
The lecture gives an introduction to statistical classification. It has been unnamed from "Pattern Recognition and Neural Networks"
PLEASE REGISTER AT CAMPUS FOR THE TUTORIAL
L2P
There is an L2P learning room, with lecture information and the tutorial:
L2P.
If you could not register please send an eMail to Patrick Lehnen from your RWTH adress (@rwth-aachen.de).
Requirements
basic knowledge on probability calculus / statistics
News
PLEASE REGISTER AT CAMPUS FOR THE TUTORIAL
Contents
- basic statistics
- training and learning
- model-free approaches
- neural networks and discriminative training
- error integral: characteristics and estimates
- mixture distributions and cluster analysis
- EM-algorithm and hidden Markov models
- feature extraction and linear mappings
Lecture Notes (Access only permitted within the RWTH domain)
- Overview of i6: Research and Courses
- Lecture Notes (WS 12, English)
- Lecture Notes (SS 05, English)
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Lecture Notes (SS 02, German)
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Ringvorlesung "Medizinische Bildverarbeitung" (WS 04/05, English) (Nearest Neighbour, Tangent Distance, Decision Trees, ...)
- Appendix: Support Vector Machines, Logistic Regression, and Log-linear Models (SS 07, English)
- Appendix: Maximum Entropy (WS 00/01, English)
Software
Exercises
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