EE462 MLCV 1 Lecture 3-4 Clustering (1hr) Gaussian Mixture and EM (1hr) Tae-Kyun Kim.

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Presentation transcript:

EE462 MLCV 1 Lecture 3-4 Clustering (1hr) Gaussian Mixture and EM (1hr) Tae-Kyun Kim

EE462 MLCV 2 Vector Clustering

EE462 MLCV 3 ` RGBRGB Pixel Clustering (Image Quantisation)

EE462 MLCV 4 dimension D … …… or raw pixels … K codewords Patch Clustering

EE462 MLCV 5 Refer to Lecture 9-10 for BoW

EE462 MLCV 6 …… Image Clustering

EE462 MLCV 7 K-means vs GMM Hard clustering Soft clustering

EE462 MLCV 8 Matrix and Vector Derivatives

EE462 MLCV 9

10 K-means Clustering

EE462 MLCV 11

EE462 MLCV 12

EE462 MLCV 13

EE462 MLCV 14

EE462 MLCV 15

EE462 MLCV 16

EE462 MLCV 17 Statistical Pattern Recognition Toolbox for Matlab tprtool/ …\stprtool\probab\cmeans.m …\stprtool\probab\cmeans_tk.m

EE462 MLCV 18 Mixture of Gaussians

EE462 MLCV 19

EE462 MLCV 20

EE462 MLCV 21

EE462 MLCV 22 Maximum Likelihood

EE462 MLCV 23

EE462 MLCV 24

EE462 MLCV 25

EE462 MLCV 26

EE462 MLCV 27

EE462 MLCV 28

EE462 MLCV 29 Statistical Pattern Recognition Toolbox for Matlab tprtool/ …\stprtool\visual\pgmm.m …\stprtool\demos\demo_emgmm.m

EE462 MLCV 30 Advanced topic (optional) cv/lecture_clustering_em.pdf

EE462 MLCV 31 EM Algorithm in General

EE462 MLCV 32

EE462 MLCV 33