Intawichai et al., 2020 - Google Patents

A numerical study of efficient sampling strategies for randomized singular value decomposition

Intawichai et al., 2020

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Document ID
17950914180075881408
Author
Intawichai S
Chaturantabut S
Publication year
Publication venue
Thai Journal of Mathematics

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Snippet

The randomized singular value decomposition (rSVD) method is a powerful dimension reduction technique that uses random projection matrices to project the data onto lower dimensional subspace. A crucial step of rSVD algorithm is the sampling process, which will …
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    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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