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Structures and problems of pattern recognition. Mathematics model of statistical pattern recognition, multivariate probability, Bay's decision theory, maximum likelihood estimation, whitening transformations. Parametric and non-parametric techniques, linear discriminant function, gradient-descent procedure, clustering and unsupervised learning, and feature selection algorithms. (Cross-listed with CSCI 8476).

Prerequisite(s)/Corequisite(s): CSCI 1620 with C- or better, and MATH 2050. Recommended: MATH 4740/8746 or STAT 3800/8805.

Computer Engineering, Bachelor of Science

...following list. Computer Science (CSCI) Courses: 4150/8156...Introduction to Artificial Intelligence 4470/8476 Pattern Recognition...