George Mason University
George Mason University Mason
George Mason University

CS 775: Advanced Pattern Recognition

Instructor Information

Section Information

Covers 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.

Course Information from University Catalog

Credits: 3

Prerequisites:

Instructor Information
Expertise