ECE 585 - Pattern Recognition

Institution:

University of Michigan-Dearborn

Subject:

Electrical&Computer Engin

Description:

Introduction to pattern recognition (PR) as a process of data analysis. Representation of features in multidimensional space as random vectors. Similarity and dissimilarity measures in feature space. Bayesian decision theory, discriminant functions and supervised learning. Clustering analysis and unsupervised learning. Estimation and learning. Feature extraction and selection. Introduction to interactive techniques in PR. Applications of PR.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.umd.umich.edu/

Phone Number:

(313) 593-5000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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