| Nonparametric density estimation of streaming data using orthogonal series KA Caudle, E Wegman Computational statistics & data analysis 53 (12), 3980-3986, 2009 | 20 | 2009 |
| 2DTPCA: A new framework for multilinear principal component analysis C Ozdemir, RC Hoover, K Caudle 2021 IEEE International Conference on Image Processing (ICIP), 344-348, 2021 | 9 | 2021 |
| Multilinear discriminant analysis through tensor-tensor eigendecomposition RC Hoover, K Caudle, K Braman 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 9 | 2018 |
| High-order multilinear discriminant analysis via order-n tensor eigendecomposition C Ozdemir, RC Hoover, K Caudle, K Braman Available at SSRN 4203431, 2022 | 7 | 2022 |
| Fast tensor singular value decomposition using the low-resolution features of tensors C Ozdemir, RC Hoover, K Caudle 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 7 | 2021 |
| Using density estimation to detect computer intrusions K Caudle, C Karlsson, LD Pyeatt Proceedings of the 2015 ACM International Workshop on International Workshop …, 2015 | 6 | 2015 |
| Introducing flow field forecasting M Frey, K Caudle 2011 10th International Conference on Machine Learning and Applications and …, 2011 | 6 | 2011 |
| A new approach to multilinear dynamical systems and control RC Hoover, K Caudle, K Braman arXiv preprint arXiv:2108.13583, 2021 | 5 | 2021 |
| Flow field forecasting for univariate time series MR Frey, KA Caudle Statistical Analysis and Data Mining: The ASA Data Science Journal 6 (6 …, 2013 | 5 | 2013 |
| Continuous updates of penalized spline regression for flow field forecasting K Caudle, M Frey Proceedings of the 32th Annual International Symposium on Forecasting, 2012 | 5 | 2012 |
| Searching algorithm using Bayesian updates K Caudle Journal of Computers in Mathematics and Science Teaching 29 (1), 19-29, 2010 | 5 | 2010 |
| Density estimation from streaming data using wavelets EJ Wegman, KA Caudle Compstat 2006-Proceedings in Computational Statistics: 17th Symposium Held …, 2006 | 5 | 2006 |
| Did the Gamemakers fix the lottery in the Hunger Games? K Caudle, E Daniels Teaching Statistics 37 (2), 37-40, 2015 | 4 | 2015 |
| Examining intermediate data reduction algorithms for use with t-SNE A Campbell, K Caudle, RC Hoover Proceedings of the 2019 3rd International Conference on Compute and Data …, 2019 | 3 | 2019 |
| Closest history flow field forecasting for IEEE CSCI-ISCS KA Caudle, PS Fleming 2016 International Conference on Computational Science and Computational …, 2016 | 3 | 2016 |
| Characteristic length estimation for flow field forecasting M Frey, K Caudle, Y Liu Proceedings of the 32nd Annual International Symposium on Forecasting 24, 27, 2012 | 3 | 2012 |
| Discounting older data KA Caudle, GO Fowler, LR Jager, DM Ruth Wiley Interdisciplinary Reviews: Computational Statistics 3 (1), 30-33, 2011 | 3 | 2011 |
| Flow field forecasting with many predictors K Caudle, P Fleming, L Pyeatt, RC Hoover Proceedings of the 2019 3rd International Conference on Compute and Data …, 2019 | 2 | 2019 |
| Kernelization of tensor discriminant analysis with application to image recognition C Ozdemir, RC Hoover, K Caudle, K Braman 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 1 | 2022 |
| Forecasting Multilinear Data via Transform-Based Tensor Autoregression J Cates, RC Hoover, K Caudle, C Ozdemir, K Braman, D Machette arXiv preprint arXiv:2205.12201, 2022 | 1 | 2022 |
Randy HooverProfessor of Electrical Engineering & Computer Science, South Dakota School of Mines and TechnologyVerified email at sdsmt.edu
