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
- Game learning, General game playing
- Reinforcement Learning,
- Simulation,
- Game Physics,
- Optimization: multi-criteria, EGO, Kriging.
Mini Glossary
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Active Shape Models. |
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Active Appearance Models. LV: WPF MIAV (BA) und WPF MIAV (MA). |
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SFA is an analysing tool from neuroinformatics external link: www.scholarpedia.org/article/Slow_feature_analysis (Laurenz Wiskott, Ruhr-Uni Bochum) |
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(… to be continued …) |
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LV: Teaching course which deepens this topic
