Course: Pattern Recognition

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    • Classification with Normal Densities
    • Ellipses, Gaussians, Convariances
    • Introduction
    • Invariances, PCA
    • Kernel Density Estimation
    • kNN Methods
    • Multilayer Perceptrons
    • Nearest Neighbor Classification
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Lectures‎ > ‎

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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