- 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
- Game learning, General game playing
- Reinforcement Learning,
- Game Physics,
- Optimization: multi-criteria, EGO, Kriging.
Active Appearance Models.
external link: www.scholarpedia.org/article/Slow_feature_analysis (Laurenz Wiskott, Ruhr-Uni Bochum)
(… to be continued …)
LV: Teaching course which deepens this topic