Hauptstudium  

Pattern Recognition and Neural Networks

The lecture gives an introduction to statistical 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 LECTURE AND VOTE FOR THE LECTURE TIMES AS SOON AS POSSIBLE

Requirements

basic knowledge on probability calculus / statistics

News

PLEASE REGISTER AT CAMPUS FOR THE LECTURE AND VOTE FOR THE LECTURE TIMES AS SOON AS POSSIBLE

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 (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