1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Forecasting Multilinear Data via Transform-Based Tensor Autoregression
Jackson Cates, Randy C. Hoover, Kyle Caudle +3
In the era of big data, there is an increasing demand for new methods for analyzing and forecasting 2-dimensional data. The current research aims to accomplish these goals through…
cs.LG2022
High-Order Multilinear Discriminant Analysis via Order- Tensor Eigendecomposition
Cagri Ozdemir, Randy C. Hoover, Kyle Caudle +1
Higher-order data with high dimensionality is of immense importance in many areas of machine learning, computer vision, and video analytics. Multidimensional arrays (commonly refer…
cs.LG2021★ 1 cited
A New Approach to Multilinear Dynamical Systems and Control
Randy C. Hoover, Kyle Caudle, Karen Braman
The current paper presents a new approach to multilinear dynamical systems analysis and control. The approach is based upon recent developments in tensor decompositions and a newly…