Pattern Recognition
The course is not on the list Without time-table
| Code | Completion | Credits | Range |
|---|---|---|---|
| EP33ROD | Z,ZK | 4 | 2+2s |
- Lecturer:
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- Department of Cybernetics
- Synopsis:
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Problems solved by pattern recognition. Relation to other disciplines. Statistical pattern recognition. Data matrix, its normalization. Classifiers. Bayesian and non-Bayesian approach. Teaching of the classifier. Linear classifiers. Unsupervised learning. Structural pattern recognition. Grammars. Exact and approximate matching problems. Combination of statistical and structural methods via Markov random chains. Examples of applications.
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- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans: