ECE 662: Statistical Pattern Recognition and Decision Making Processes

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Textbooks

"Introduction to Statistical Pattern Recognition" by K. Fukunaga_OldKiwi

Peer Legacy

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Main Course Topics

• About Pattern Recognition
• Bayesian Decision Theory
• Discriminant Functions
• Fisher Linear Discriminant
• Bayesian Decision Theory for Normally Distributed Features
• Feature Extraction
• Density Estimation
• Linear classifiers
• Artificial Neural Networks
• Support Vector Machines
• Clustering
• Decision Trees

Interesting pages in the ECE662 category

• About Parametric Estimators
• Bayes rule under severe class imbalance

Semester/Instructor specific pages

• Spring 2010, Prof. Boutin
• Spring 2008, Prof. Boutin

Other References

• "Pattern Classification" by Duda, Hart, and Stork_OldKiwi
• "Pattern Recognition: A Statistical Approach" by P.A. Devijver and J.V. Kittler_OldKiwi
• "Pattern Recognition and Neural Networks" by Brian Ripley_OldKiwi
• "Introduction to Data Mining" by P-N Tan, M. Steinbach and V. Kumar_OldKiwi

Related Courses

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