Lecture 3-4 Clustering (1hr) Gaussian Mixture and EM (1hr). Tae-Kyun Kim. Vector Clustering. Pixel Clustering (Image Quantisation). R G B. ``. Patch Clustering. or raw pixels. …. dimension D. ……. ……. K codewords. …. Refer to Lecture 9-10 for BoW. Image Clustering. ……. - PowerPoint PPT Presentation
Transcript of Lecture 3-4 Clustering (1hr) Gaussian Mixture and EM (1hr)
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Lecture 3-4Clustering (1hr)Gaussian Mixture and EM (1hr)
Tae-Kyun Kim
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Vector Clustering
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``
RGB
Pixel Clustering (Image Quantisation)
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dim
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D…
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or raw pixels
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K codewords
Patch Clustering
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Refer to Lecture 9-10 for BoW
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Image Clustering
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K-means vs GMM
Hard clustering
Soft clustering
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Matrix and Vector Derivatives
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K-means Clustering
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Statistical Pattern Recognition Toolbox for Matlab