| Session | Computational Intelligence Methods for High Dimensional Data and Time Series |
| Chair | Andreas Backhaus |
| Co-Chair | Michael Biehl |
| How to Extract Meaningful Shapes from Noisy Time-Series Subsequences? |
| Discovery of Topological Relations for Spatial Activity Recognition |
| Spatio-Temporal Event Detection Using Probabilistic Graphical Models (PGMs) |
| Combining Semi-Supervised and Active Learning for Hyperspectral Image Classification |
| Detecting Abnormal Ozone Levels Using PCA-Based GLR Hypothesis Testing |
