EFFICIENT COMPUTATION OF THE TUCKER DECOMPOSITION AND MOMENT TENSOR
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.
Description
Keywords
High-Performance Computing, Randomized Algorithms, Statistical Moment Tensor, Tensor Decomposition
Citation
Collections
Endorsement
Review
Supplemented By
Referenced By
Loading...
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Wake Forest University