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Pattern Recognition . ECE 277
Principles and design of pattern recognition systems. Statistical classifiers: discriminant functions; bayes, minimum risk, k-nearest neighbors, perceptrons. Clustering and estimation; criteria; k-means, fuzzy, hierarchal, graph- theoretic, simulated and determininstic annealing; maximum likelihood and bayesian methods: nonparametric methods. Overview of applications.
Prerequisites: ECE 130C and 139.
Past Enrollment Trends (1)
Winter 2025 . Rose K
Deng Z
PHELP1431
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10:00 AM - 11:50 AM
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ECE 277
Rose K
Winter 2025
Total: 32
ECE 277
Rose K
Winter 2022
Total: 11
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