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ECE 8443 – Pattern Recognition
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ECE 8443 – Pattern Recognition ECE 8527 – Introduction to Machine Learning and Pattern Recognition Objectives: Bagging and Boosting Cross-Validation ML.
ECE 8443 – Pattern Recognition LECTURE 03: GAUSSIAN CLASSIFIERS Objectives: Normal Distributions Whitening Transformations Linear Discriminants Resources.
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ECE 8443 – Pattern Recognition LECTURE 07: MAXIMUM LIKELIHOOD AND BAYESIAN ESTIMATION Objectives: Class-Conditional Density The Multivariate Case General.
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ECE 8443 – Pattern Recognition Objectives: Bayes Rule (Again!) Sequential Bayesian Estimation Monte Carlo Methods State Space Formulations Kalman Filters.
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ECE 8443 – Pattern Recognition ECE 3163 – Signals and Systems Objectives: Motivation The Bilateral Transform Region of Convergence (ROC) Properties of.
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