Parallel Algorithms for and Applications of the Dense Canonical Polyadic Decomposition
Electronic Theses and Dissertations
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Item Details
- 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
- 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