Pattern Recognition and Neural Networks
The lecture gives an introduction to statistical pattern
recognition, where neural networks and their relation to
statistical classifiers will also be discussed.
Please note that the lecture will be given as a block course in the lecture free time after the winter term.
The corresponding exercises will take place in the summer term.
Type

Dates/Rooms 
Start 
Instructor 
V4 
see campus site for exact dates/ seminar room of chair for computer science 6
 24/02/2011 
Prof. Dr.Ing. H. Ney

Ü2 
Fr 10:0011:30 / seminar room of chair for computer science 6 
8/4/2011 
Simon Wiesler,
Patrick Lehnen

Requirements
basic knowledge on probability calculus / statistics
News
The new exercise date is the old exercise date, Friday 10h.
Contents
 basic statistics
 training and learning
 modelfree approaches
 neural networks and discriminative training
 error integral: characteristics and estimates
 mixture distributions and cluster analysis
 EMalgorithm 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 Loglinear Models (SS 07, English)
 Appendix: Maximum Entropy (WS 00/01, English)
FAQ
Software
Exercises
1st Exercise Sheet (Submission: April, 15^{th} 2011)
2nd Exercise Sheet (Submission: April, 29^{th} 2011)
3rd Exercise Sheet (Submission: May, 6^{th} 2011)
4th Exercise Sheet (Submission: May, 13^{th} 2011)
5th Exercise Sheet (Submission: May, 20^{th} 2011)
6th Exercise Sheet (Submission: June 3^{rd} 2011)
7th Exercise Sheet (Submission: June 10^{th} 2011)
8th Exercise Sheet (Submission: June 24^{th} 2011, due to the Exkursionswoche)
9th Exercise Sheet (Submission: July 1^{st} 2011)
10th Exercise Sheet (Submission: July 8^{th} 2011)
