I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio

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Date: 2016-06-23 15:50:48 Algebra Mathematics Multivariate statistics Numerical analysis Numerical linear algebra Iterative methods Dimension reduction Principal component analysis Singular value decomposition Stochastic optimization Nonlinear dimensionality reduction Sparse dictionary learning		I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio Add to Reading List Source URL: mmds-data.org Download Document from Source Website File Size: 12,22 KB Share Document on Facebook

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