ECSE 6610 - Pattern Recognition

Structure of pattern classification problems. Mathematics of statistical decision theory: random vectors, multivariate probability functions, discriminants, parametric and nonparametric techniques, Bayesian and maximum likelihood estimation, feature selection, dimensionality reduction, whitening transformations. Adaptive methods and clustering. Five programming assignments and a term paper.

Prerequisite or Corequisite: Prerequisite: ECSE 2500 or equivalent.

When Offered: FALL TERM ANNUALLY

Graded: GRADED

Credit Hours: 3