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CSCI 8476  PATTERN RECOGNITION (3 credits)

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 4470)

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

http://catalog.unomaha.edu/undergraduate/college-engineering/electrical-computer-engineering/computer-engineering-bs/

...following list. Computer Science (CSCI) Courses: 4150/8156...to Artificial Intelligence 4470/8476 Pattern Recognition 4500...