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Parallel Algorithms for and Applications of the Dense Canonical Polyadic Decomposition

Electronic Theses and Dissertations

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abstract
Tensor decompositions have gained popularity in various research communities as a means of analyzing high dimensional, complex data.
subject
CP Decomposition
Dense Tensors
Neuroimaging
Parallel Algorithms
Tensor
Tensor Decompositions
contributor
Hayashi, Koby (author)
Ballard, Grey M (committee chair)
Cho, Sam (committee member)
John, David (committee member)
date
2018-05-24T08:36:15Z (accessioned)
2018-05-24T08:36:15Z (available)
2018 (issued)
degree
Computer Science (discipline)
identifier
http://hdl.handle.net/10339/90743 (uri)
language
en (iso)
publisher
Wake Forest University
title
Parallel Algorithms for and Applications of the Dense Canonical Polyadic Decomposition
type
Thesis

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