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Kyle Gilman
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Grassmannian Optimization for Online Tensor Completion and Tracking with the t-SVD
K Gilman, D Ataee Tarzanagh, L Balzano
IEEE Transactions on Signal Processing 70, 2152-2167, 2022
25*2022
HePPCAT: Probabilistic PCA for data with Heteroscedastic noise
D Hong, K Gilman, L Balzano, JA Fessler
IEEE Transactions on Signal Processing 69, 4819-4834, 2021
162021
Online Tensor Completion and Free Submodule Tracking with the t-SVD
K Gilman, L Balzano
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
72020
Panoramic Video Separation with Online Grassmannian Robust Subspace Estimation
K Gilman, L Balzano
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
52019
A Semidefinite Relaxation for Sums of Heterogeneous Quadratic Forms on the Stiefel Manifold
K Gilman, S Burer, L Balzano
arXiv preprint arXiv:2205.13653, 2022
42022
Streaming Probabilistic PCA for Missing Data with Heteroscedastic Noise
K Gilman, D Hong, JA Fessler, L Balzano
arXiv preprint arXiv:2310.06277, 2023
2023
Scalable Algorithms Using Optimization on Orthogonal Matrix Manifolds
K Gilman
2022
Majorize-Minimize Algorithms for Streaming Generalized Canonical Polyadic Tensor Decompositions.
K Gilman, E Phipps
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
2021
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