CS 775: Advanced Pattern Recognition
Section InformationCovers statistical pattern recognition, neural network, and statistical learning theory approaches. Topics include decision theory and Bayes' theorem, density (parametric and nonparametric) estimation, linear and nonlinear discriminant analysis, SVM and kernel methods, SRM and model selection, performance evaluation, mixture of experts (AdaBoost), dimensionality reduction, feature selection and extraction, and clustering. Emphasizes experimental design, applications, and performance evaluation.
- CS 775-001: Advanced Pattern Recognition
- T; 7:20 pm - 10:00 pm
- : 2026
Course Information from University Catalog