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Representation Learning in Lower Dimensions and Spectral Methods in Machine 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.
Slides: https://works.bepress.com/vishnu-pendyala/58/
For past events visit https://r6.ieee.org/scv-cs
An IEEE Computer Society Santa Clara Chapter event
Event date: January 16, 2024
