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kavallieratou at aegean.grPattern Recognition & Applications in Robotics
| Course Code: | 321-7752 | |
| Lecturers: | Ergina Kavallieratou - Dimantatos Paraskevas | |
| External Website: | https://eclass.icsd.aegean.gr/courses/ICSD188/ | |
| Units (Weight): | 0 (0.0) | |
| Semester: | 7 | |
| ECTS: | 5 | |
| Teaching Hours: | 3 | |
| Lab Hours: | 2 |
Course Material
Patterns and Features - Classifiers - Bayes classifier, Η the curse of dimensionality Feature extraction - Features Selection , Filters, Serial algorithms, exponential algorithms, Random algorithms - deviation and variance,unsupervised learning - Mixture models, Non-parametric unsupervised learning - Proximity Measures, algorithms k-means, ISODATA, Hierarchical clustering, dendrogram - SVM - HMM - Applications in Robotics-Positionig in Area-Movement of Robots-Control.
Learning Outcomes
The course intends to familiarize the students with Pattern Recognition Systems, known methodologies and applications of the field. Moreover, it demonstrates how those systems are designed, developed and evaluated. On a second level, the student is asked to design and develop their own Pattern Recognition System for specific patterns or application.