HIERARCHICAL SINGULAR VALUE DECOMPOSITION OF TENSORS
HIERARCHICAL SINGULAR VALUE DECOMPOSITION OF TENSORS
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Publisher
Philadelphia, PA: Society for Industrial and Applied Mathematics
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Language
English
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Publisher
Philadelphia, PA: Society for Industrial and Applied Mathematics
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Contents
The authors define the hierarchical singular value decomposition (SVD) for tensors of order d ≥ 2. This hierarchical SVD has properties like the matrix SVD (and collapses to the SVD in d = 2), and they prove these. In particular, one can find low rank (almost) best approximations in a hierarchical format (H-Tucker) which requires only ... parameter...
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Full title
HIERARCHICAL SINGULAR VALUE DECOMPOSITION OF TENSORS
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TN_cdi_proquest_miscellaneous_907953462
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_907953462
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ISSN
0895-4798
E-ISSN
1095-7162
DOI
10.1137/090764189
