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COMP 644 Pattern Recognition (4 credits)

Offered by: Computer Science (Faculty of Science)

Administered by: Graduate Studies

Overview

Computer Science (Sci) : Techniques for smoothing, approximating and enhancing spatial and temporal data. Feature extraction and shape measurement using spatial moments and medial axis transforms. Detecting structure using Hough transforms and proximity graphs. Discriminant functions. Neural networks. Bayesian decision theory. Feature selection. Estimation of misclassification. Nearest neighbour decision rules. Applications.

Terms: This course is not scheduled for the 2009-2010 academic year.

Instructors: There are no professors associated with this course for the 2010-2011 academic year.

  • 3 hours
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