Personal repo for SUSTech course Pattern Recognition
Contents:
- Lab 1, MATLAB review and practice
- Lab 2 Bayesian Decision Theory Random Number Generation
- Lab 3, Uniform and Standard Distributions
- Lab 4, Multivariate Normal Distribution
- Lab 5, Application to Image Segmentation
- Lab 7, Principal Component Analysis & Linear Discriminant Analysis
- Lab 8, EM Algorithm and Mixture of Densities (Gaussians) for Image Segmentation
- Lab 10, k Nearest Neighbor and Parzen Window
- Lab 11, k Nearest Neighbor and Parzen Window
where Lab 2, 3 are written by matlab and others are written by jupyter notebook.