| |
Dec 22, 2024
|
|
|
|
|
ITCS 8220 - Pattern Recognition
Topics include: Pattern pre-processing and feature extraction (entropy minimization, orthogonal expansion, Fourier expansion, Karhunen-Loeve expansion, PCA); linear decision functions; orthogonal and non-orthogonal systems of functions; pattern classification by distance functions (Nearest Neighbor, K-means, ISODATA); pattern classification by likelihood functions (Bayesian classifiers, estimation of probability density function); trainable classifiers (LMSE, Perceptron, multi-layer perceptrons, fuzzy classifiers); stochastic processes; classification on categorical attributes.
Credit Hours: (3)
Restriction(s): Ph.D. student standing or permission of instructor.
Most Recently Offered (Day): Course has not been offered at this time in the past 3 years
Most Recently Offered (Evening): Course has not been offered at this time in the past 3 years
Schedule of Classes
Add to Catalog Bookmarks (opens a new window)
|
|
