Department of Information and Computing Sciences

Departement Informatica Onderwijs
Bachelor Informatica Informatiekunde Kunstmatige intelligentie Master Computing Science Game&Media Technology Artifical Intelligence Business Informatics

Onderwijs Informatica en Informatiekunde

Vak-informatie Informatica en Informatiekunde

Pattern recognition

Website:website containing additional information
Course code:INFOMPR
Credits:7.5 ECTS
Period:period 2 (week 46 through 5, i.e., 10-11-2014 through 30-1-2015; retake week 11)
Timeslot:D
Participants:up till now 48 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:Dit is een oud rooster!
formgrouptimeweekroomteacher
lecture          Ad Feelders
Remco Veltkamp
   
Exam:
week: 5Fri 2-2-201813.30-16.30 uurroom: EDUC-THEATRON
week: 16Fri 20-4-201813.30-16.30 uurroom: -retake exam
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.

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

  • Model fitting.
  • Matching point patterns.
  • Matching curves and regions.
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:Om aan de aanvullende toets te mogen meedoen moet de oorspronkelijke uitslag minstens 4 zijn.
wijzigen?