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Electrical and Computer Engineering

18794 – Pattern Recognition Theory

12 units

Decision theory, parameter estimation, density estimation, non-parametric techniques, supervised learning, linear discriminant functions, clustering, unsupervised learning, artificial neural networks, feature extraction, support vector machines, and pattern recognition applications (e.g., face recognition, fingerprint recognition, automatic target recognition, etc.).

4 hrs. lec.

Prerequisites: 36-217, or equivalent introductory probability theory and random variables course and an introductory linear algebra course and senior or graduate standing.

Last updated on March 20, 2007

ECE classifications

Graduate areas

Signal Processing and Communications

Undergraduate areas

Signals and Systems

This course is currently being offered.

Past semesters

S07, S05, S04, S03, S01, S99

Hover over a semester for more information.

Please note that the course history information is incomplete and/or may reflect different courses offered under the same course number.



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