CS 551 Pattern Recognition

Basics of statistical and structural pattern recognition. Feature extraction and selection. Bayesian decision theory. Parametric and non-parametric density estimation. Clustering. Unsupervised and supervised learning. Classifiers and discriminant functions. Ensemble methods. Syntactic pattern description. Applications. Credit units: 3 ECTS Credit units: 5.

Autumn Semester (Selim Aksoy)

Spring Semester (Selim Aksoy)

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