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== Peer Legacy == | == Peer Legacy == | ||
Share advice with future students regarding ECE662 on [[Peer_Legacy_ECE662|this page]]. | Share advice with future students regarding ECE662 on [[Peer_Legacy_ECE662|this page]]. | ||
+ | |||
+ | == Main Course Topics == | ||
+ | |||
+ | * [[About Pattern Recognition]] | ||
+ | * [[Bayesian Decision Theory]] | ||
+ | * [[Discriminant Functions]] | ||
+ | * [[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 == | == Interesting pages in the ECE662 category == | ||
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== Related Courses == | == Related Courses == | ||
− | + | Please help complete this section: which course relates to ECE662? | |
---- | ---- | ||
[[Meta Course List|Back to Course List]] | [[Meta Course List|Back to Course List]] |
Revision as of 09:22, 13 April 2010
Contents
ECE 662: Statistical Pattern Recognition and Decision Making Processes
Click here to view a list of all pages in the ECE662 category.
Peer Legacy
Share advice with future students regarding ECE662 on this page.
Main Course Topics
- About Pattern Recognition
- Bayesian Decision Theory
- Discriminant Functions
- 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
Semester/Instructor specific pages
Related Courses
Please help complete this section: which course relates to ECE662?