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Electrical Engineering
Description: Survey of techniques for identifying patterns present in noisy signal and image data. Includes classifiers, discriminant functions, Bayesian decision theory., maximum likelihood, K-means, relaxation, neural networks, and machine learning. Co-convened with EE 543. Letter grade only.
Units: 3
Sections offered: Fall 2024
Prerequisite: EE 325 and EE 348 with grades of C or better
Electrical Engineering
Term : Fall 2015
Catalog Year : 2015-2016
EE 443 - Pattern Recognition
Description: Survey of techniques for identifying patterns present in noisy signal and image data. Includes classifiers, discriminant functions, Bayesian decision theory., maximum likelihood, K-means, relaxation, neural networks, and machine learning. Co-convened with EE 543. Letter grade only.
Units: 3
Sections offered: Fall 2024
Prerequisite: EE 325 and EE 348 with grades of C or better