TU Delft
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2016/2017 Electrical Engineering, Mathematics and Computer Science Master Computer Science
Pattern Recognition
Responsible Instructor
Name E-mail
Dr. D.M.J. Tax    D.M.J.Tax@tudelft.nl
Name E-mail
Dr. D.M.J. Tax    D.M.J.Tax@tudelft.nl
Contact Hours / Week x/x/x/x
2/2/0/0 + lab 4/4/0/0
Education Period
Start Education
Exam Period
Course Language
Expected prior knowledge
Linear algebra, multivariate statistics.
Course Contents
Recapitulation of multi-dimensional statistics, data visualisation, density esimation, cluster analysis. Representation of real world objects by features, prototypes and dissimilarities. Training pattern classifiers by examples. Feature extraction. Bayes' rule. Classification by statistical discriminants, neural networks, decision trees or support vector machines. Statistical learning theory. One-class classifiers. Combined appraoches. EM algorithm. Partially supervised learning.
Evaluation procedures, cross validation. Overtraining, regularisation.
Study Goals
After succesfully completing this course, the student is able to: recognise pattern recognition problems and select algorithms to solve them; read and comprehend recent articles in engineering-oriented pattern recognition journals, such as IEEE Tr. on PAMI; construct a learning system to solve a given simple pattern recognition problem, using existing software.
Education Method
Lectures, lab work
Workload is around 30 hours for attending lectures, 40 hours of reading study material and preparing lectures, 60 hours for the lab course, 20 hours for preparing the exam, 3 hours for the exam, and 8 hours for a final report (161 hours in total).
Literature and Study Materials
S.Theodoridis and K.Koutroumbas, Pattern Recognition (2nd ed.), Elsevier, 2009, ISBN-978-1-59749-272-0; Sheets; PRTools user manual; Pattern Recognition exercises with PRTools.
Homework, Computer laboratory assignment and written examination. The final grade = 20% homework grade + 40% final computer lab. assignment + 40% written exam.

The exam is an open book examination, except for a multiple choice questions. The exam takes 3 hours. You can use a graphical calculated during the exam. Further, no phones, no tables, no laptops or other electronic equipment.

For the homework exercises there is no resit. For the exam and final computer lab. assignment there is a resit.

For the dates of the exam and resit, please consult http://roosters.tudelft.nl.
Enrolment / Application
You *have* to subscribe in Blackboard, and be present at the first lecture!
see also http://www.delftleiden.nl/BIO/index.php?id=curriculum
Name E-mail
M. Loog    M.Loog@tudelft.nl