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COMP- 644:
PATTERN RECOGNITION
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Course Summary
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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 neighbor decision rules. Support vector machines and training data editing. Music information retrieval. Applications.
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