Pattern Recognition, IPS6/2012

Content:

• mm1 Introduction to statistical pattern recognition
• mm2 Bayesian decision theory
• mm3 Parameter estimation: ML, Bayes
• mm4 Non-parametric techniques: Parzen, kNN
• mm5 Linear discriminant functions
• mm6 Unsupervised learning and clustering
  
• mm7 Feature evaluation
  
• mm8 String matching / Test of pattern recognition systems

Litterature:

"Pattern Classification" by Duda, Hart og Stork, 2001 and selected notes

Lecture:

Slides from the lectures can be found here.

Exercises:

Solutions to exercises (Matlab programs) can be found here.

Lecturers:

Lasse Riis Østergaard, Fredrik Bajers Vej 7, C1-207

Thomas Moeslund , Niels Jernes Vej 14, 3.109

Evaluation:

Oral evaluation

---

Email to Lasse Riis Østergaard