Kyle A. Caudle

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 13

Top Topics

Discriminant Analysis

Top Venues

Publications

Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle, Karen S. Braman
Tensor discriminant analysis on grassmann manifold with application to video based human action recognition. Int. J. Mach. Learn. Cybern. 15 (8) (2024)
Jackson Cates, Randy C. Hoover, Kyle A. Caudle, Cagri Ozdemir, Karen S. Braman, David Machette
Forecasting Multilinear Data via Transform-Based Tensor Autoregression. CoRR (2022)
Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David Marchette, Cagri Ozdemir
Anomaly Detection from Multilinear Observations via Time-Series Analysis and 3DTPCA. ICMLA (2022)
Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle, Karen S. Braman
High-Order Multilinear Discriminant Analysis via Order-n Tensor Eigendecomposition. CoRR (2022)
Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle, Karen S. Braman
Kernelization of Tensor Discriminant Analysis with Application to Image Recognition. ICMLA (2022)
Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle
Fast Tensor Singular Value Decomposition Using the Low-Resolution Features of Tensors. ICMLA (2021)
Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle
2DTPCA: A New Framework for Multilinear Principal Component Analysis. ICIP (2021)
Jackson Cates, Randy C. Hoover, Kyle A. Caudle, Riley Kopp, Cagri Ozdemir
Transform-Based Tensor Auto Regression for Multilinear Time Series Forecasting. ICMLA (2021)
Kyle A. Caudle, Patrick Fleming, Larry D. Pyeatt, Randy C. Hoover
Flow Field Forecasting with Many Predictors. ICCDA (2019)
Aaron Campbell, Kyle A. Caudle, Randy C. Hoover
Examining Intermediate Data Reduction Algorithms for use with t-SNE. ICCDA (2019)
Kyle A. Caudle, Randy C. Hoover, Aaron Alphonsus, Shashwati Shradha
Advanced Decision Making and Interpretability through Neural Shrubs. ICMLA (2019)
Kyle A. Caudle, Larry D. Pyeatt, Anthony Morast, Christer Karlsson, Randy C. Hoover
Building a Better Decision Tree by Delaying the Split Decision. ICCDA (2019)
Kyle A. Caudle, Randy C. Hoover, Karen S. Braman
Multilinear Discriminant Analysis Through Tensor-Tensor Eigendecomposition. ICMLA (2018)
Kyle A. Caudle, Christer Karlsson, Larry D. Pyeatt
Using Density Estimation to Detect Computer Intrusions. IWSPA@CODASPY (2015)
Micheal R. Frey, Kyle A. Caudle
Flow field forecasting for univariate time series. Stat. Anal. Data Min. 6 (6) (2013)
Michael Frey, Kyle A. Caudle
Introducing Flow Field Forecasting. ICMLA (1) (2011)
Kyle A. Caudle, Edward J. Wegman
Nonparametric density estimation of streaming data using orthogonal series. Comput. Stat. Data Anal. 53 (12) (2009)