Department of Information and Computing Sciences

Departement Informatica Onderwijs
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Onderwijs Informatica en Informatiekunde

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Pattern recognition

Course code:INFOMPR
Credits:7.5 ECTS
Period:period 2 (week 46 through 5, i.e., 11-11-2013 through 31-1-2014; retake week 11)
Participants:up till now 34 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:Dit is een oud rooster!
lab session group 1        Ad Feelders
Remco Veltkamp
lecture          Ad Feelders
Remco Veltkamp
Contents:In this course we study statistical pattern recognition as well as geometric pattern recognition.

The subjects treated in the part on statistical pattern recognition are:

  • General principles of data analysis: overfitting, model selection, regularization, the curse of dimensionality.
  • Linear statistical models for regression and classification
  • Neural networks
  • Support vector machines
Knowledge of elementary probability theory, statistics and linear algebra is presupposed.
Literature:Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer 2006.
Course form:Lectures and Computer Lab
Exam form:Written Exam and Practical Assignments
Minimum effort to qualify for 2nd chance exam: