Pattern Recognition

3 credits

Statistical pattern recognition; parameter estimation and supervised learning; nonparametric techniques; linear discriminant funcitons; unsupervised learning and clustering; syntactic pattern recognition; applications. Prior to registering for this course, students should have a background in algorithms and data structures comparable to the senior undergraduate level.