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George Mason University

2016-2017 University Catalog

HELP

2016-2017 University Catalog

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CS 688 - Pattern Recognition

Credits: 3
Not Repeatable for Credit
Offered by Computer Science

Explores statistical pattern recognition and neural networks. Pattern recognition topics include Bayesian classification and decision theory, density (parametric and nonparametric) estimation, linear and nonlinear discriminant analysis, dimensionality reduction, feature extraction and selection, mixture models and EM, and vector quantization and clustering. Neural networks topics include feed-forward networks and back-propagation, self-organization feature maps, and radial basis functions. Emphasizes experimental design, applications, and performance evaluation.

Prerequisite(s): CS 580 or CS 584
Prerequisite(s) enforced by registration system.

Schedule Type: LEC
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0

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CS 688 - Pattern Recognition