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Image filtering: space and frequency: canonical basis (Hany Farid, Professor at UC Berkeley) View |
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Image understanding: unsupervised learning: principal component analysis (PCA): canonical basis (Hany Farid, Professor at UC Berkeley) View |
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Image filtering: features: edges (Hany Farid, Professor at UC Berkeley) View |
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Image understanding: unsupervised learning: principal component analysis (PCA): eigenvectors (Hany Farid, Professor at UC Berkeley) View |
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Image filtering: convolution: separable convolution (Hany Farid, Professor at UC Berkeley) View |
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Image understanding: unsupervised learning: principal component analysis (PCA): eigenfaces (Hany Farid, Professor at UC Berkeley) View |
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Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra (3Blue1Brown) View |
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StatQuest: PCA main ideas in only 5 minutes!!! (StatQuest with Josh Starmer) View |
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Theorems on base of a filter (Veena Singh) View |
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A Talklet on Wavelets (Andrea Ross) View |