Selected Topics in Pattern Recognition
The course is not on the list Without time-table
| Code | Completion | Credits | Range |
|---|---|---|---|
| EP33ROZ | Z,ZK | 4 | 2+2s |
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- Department of Cybernetics
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Prerequisites: basic course in pattern recognition (e.g. P33ROD, 33RPZ). Selected topics: Anderson's problem, Kozince algorithm, kernel perceptron, nonlinear Fisher discriminant. Vapnik's learning theorz. Deterministic learning. Unsupervised learning: Robbins algorithm and emprirical Bayesian approach. Expectation-minimization algorithm. Recognition of sequences and directed acyclic graphs. Markov models. Combination of weak classifiers: boosting and bagging. AdaBoost.
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