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Classification with Normal Densities
Ellipses, Gaussians, Convariances
Introduction
Invariances, PCA
Kernel Density Estimation
kNN Methods
Multilayer Perceptrons
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PCA, Statistical Foundations
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Ellipses, Gaussians, Convariances
Lecture 3 Ellipses, Gaussians, Covariances
2009-11-09
Lecture
patrec_-_Means_and_Moments_--_Sage.pdf
patrec_-_Ellipses_and_Gaussians_--_Sage.pdf
Reading
Ellipse
Ellipse
Sample Mean
Quadratic Form
Quadratic Form
Mahalanobis Distance
Covariance Matrix
Covariance Matrix
Random Variable
Random Variable
Eigenvector
Eigenvector
positive-definite matrix
Positive Definite Matrix
Homework
Homework 3
(due 16 Nov 2009; please hand in in class or exercises)
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