Item Details

title

EFFICIENT COMPUTATION OF THE TUCKER DECOMPOSITION AND MOMENT TENSOR

author

Li, Zitong

abstract

Data can be organized in different ways. It is called a vector when organized as a 1D list, a matrix when organized as a 2D grid, and a tensor when organized as a grid of 3 or more dimensions. Tensor datasets are ubiquitous in scientific research. Examples include brain fMRI data, hyperspectral images, and results generated from physics simulations. Similar to matrix decompositions, tensor decompositions can be used to compress data and to find the data's underlying structure.

subject

High-Performance Computing

Randomized Algorithms

Statistical Moment Tensor

Tensor Decomposition

contributor

Ballard, Grey (committee chair)

Erway, Jennifer (committee member)

Pauca, Paul (committee member)

date

2022-05-24T08:36:10Z (accessioned)

2022-05-24T08:36:10Z (available)

2022 (issued)

degree

Computer Science (discipline)

identifier

http://hdl.handle.net/10339/100763 (uri)

language

en (iso)

publisher

Wake Forest University

type

Thesis