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• W2949989392 abstract "We present a theory for Euclidean dimensionality reduction with subgaussian matrices which unifies several restricted isometry property and Johnson-Lindenstrauss type results obtained earlier for specific data sets. In particular, we recover and, in several cases, improve results for sets of sparse and structured sparse vectors, low-rank matrices and tensors, and smooth manifolds. In addition, we establish a new Johnson-Lindenstrauss embedding for data sets taking the form of an infinite union of subspaces of a Hilbert space." @default.
• W2949989392 created "2019-06-27" @default.
• W2949989392 creator A5009463062 @default.
• W2949989392 date "2014-02-17" @default.
• W2949989392 modified "2023-09-22" @default.
• W2949989392 title "Dimensionality reduction with subgaussian matrices: a unified theory" @default.
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• W2949989392 hasPublicationYear "2014" @default.
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