Representation Learning in Lower Dimensions and Spectral Methods in Machine Learning

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#Machine Learning #Eigen Decomposition #PCA #Kernel PCA #Eigen Faces #t-SNE #UMAP #Manifold Learning

The talk explores Eigen Decomposition, PCA, Kernel PCA, Eigen Faces, t-SNE, UMAP, Manifold Learning, a taxonomy of dimensionality reduction techniques, and discuss how the speaker used them for some of his research experiments.


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An IEEE Computer Society Santa Clara Chapter event

Event date: January 16, 2024

Speakers in this video