IN4085 Pattern recognition

Recapitulation of multi-dimensional statistics, data visualisation, density estimation, cluster analysis. Representation of real world objects by features, prototypes and dissimilarities. Training pattern classifiers by examples. Feature extraction. Bayes' rule. Classification by statistical discriminants, neural networks, decision trees or support vector machines. Statistical learning theory. One-class classifiers. Combined appraoches. EM algorithm. Partially supervised learning. Evaluation procedures, cross validation. Overtraining, regularisation.

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Last modified: 2023-11-03