 | 10:00 - 10:30
 | Overview of Artificial Intelligence Technology |
|
| 10:30 - 11:00
| Introduction to Pattern Recognition |
| Pattern and waveform representation transformations feature definition |
| Introduction to statistical classifiers |
| Introduction to Neural Networks classifier |
|
| 1:00 - 3:00
| Hands-on work on sample data |
| Introduces concepts of data analysis and transformations, feature selection, and
Classifier design with statistical and neural network classifiers. |
|
| 3:00 - 5:00
| Classification Tools and Techniques
 | Feature ranking |
| Clustering techniques |
| Histogram analysis |
| Feature selection from multi-channel data |
| Anomaly detection |
|
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