Computational Intelligence & Data Mining

  • Evolutionary strategies, neuroevolution
  • Neural learning algorithms, Slow Feature Analysis (SFA)
  • Feature selection & feature construction
  • Forecasting & time series analysis
  • Random Forest
  • Support Vector Machine (SVM)

Image Analysis & Computer Vision

  • Pattern recognition & face recognition,
  • Computational geometry (3D modeling, ASM/AAM),
  • Image mosaicing,
  • Medical image analysis (3D navigation).

Optimization, Simulation, Games

 

 

Mini Glossary

 

ASM

Active Shape Models.
LV: WPF MIAV (BA) und WPF MIAV (MA).
external links: www.isbe.man.ac.uk/~bim, http://www2.imm.dtu.dk/~aam.

AAM

Active Appearance Models.

LV: WPF MIAV (BA) und WPF MIAV (MA).
external links: www.isbe.man.ac.uk/~bim, http://www2.imm.dtu.dk/~aam.

Slow Feature Analysis (SFA)

SFA is an analysing tool from neuroinformatics
LV: Case Studies SOMA, BA-/MA-/Diplomarbeiten

external link: www.scholarpedia.org/article/Slow_feature_analysis (Laurenz Wiskott, Ruhr-Uni Bochum)

   

(… to be continued …)

 

 

LV: Teaching course which deepens this topic