![Algebra / Mathematics / Multivariate statistics / Numerical analysis / Dimension reduction / Iterative methods / Numerical linear algebra / Principal component analysis / Singular value decomposition / Stochastic optimization / Algorithm / Sparse dictionary learning Algebra / Mathematics / Multivariate statistics / Numerical analysis / Dimension reduction / Iterative methods / Numerical linear algebra / Principal component analysis / Singular value decomposition / Stochastic optimization / Algorithm / Sparse dictionary learning](https://www.pdfsearch.io/img/7a2507614b940c1f5fbca93b32e46aa4.jpg) Date: 2016-06-23 15:50:48Algebra Mathematics Multivariate statistics Numerical analysis Dimension reduction Iterative methods Numerical linear algebra Principal component analysis Singular value decomposition Stochastic optimization Algorithm 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 approximatioAdd to Reading ListSource URL: mmds-data.orgDownload Document from Source Website File Size: 12,22 KBShare Document on Facebook
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