Hauptstudium  

(Introduction to) Statistical Classification

The lecture gives an introduction to statistical classification. It has been unnamed from "Pattern Recognition and Neural Networks"

Type
Dates/Rooms Start Instructor
V4 Monday 11h - 12h30 (AH4) and Wednesday 12h - 13h30 (AH6)
10/10/2011 Prof. Dr.-Ing. H. Ney
Ü2 Wednesday 14h - 15h30 2356|056 (5056) Simon Wiesler, Patrick Lehnen
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)    
  • Lecture Notes (SS 02, German)    
  • 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