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05/06/2023
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption
We study the tensor robust principal component analysis (TRPCA) problem,...
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03/17/2023
Non-convex approaches for low-rank tensor completion under tubal sampling
Tensor completion is an important problem in modern data analysis. In th...
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08/20/2022
Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling
While uniform sampling has been widely studied in the matrix completion ...
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02/28/2022
Distributed randomized Kaczmarz for the adversarial workers
Developing large-scale distributed methods that are robust to the presen...
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01/31/2022
Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents
Classification and topic modeling are popular techniques in machine lear...
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09/28/2021
Robust recovery of bandlimited graph signals via randomized dynamical sampling
Heat diffusion processes have found wide applications in modelling dynam...
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09/01/2021
Predictive algorithms in dynamical sampling for burst-like forcing terms
In this paper, we consider the problem of recovery of a burst-like forci...
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08/23/2021
Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition
We study the problem of tensor robust principal component analysis (TRPC...
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03/19/2021
Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions
Low rank tensor approximation is a fundamental tool in modern machine le...
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01/05/2021
Robust CUR Decomposition: Theory and Imaging Applications
This paper considers the use of Robust PCA in a CUR decomposition framew...
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10/14/2020
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation
Robust principal component analysis (RPCA) is a widely used tool for dim...
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09/07/2020
COVID-19 Literature Topic-Based Search via Hierarchical NMF
A dataset of COVID-19-related scientific literature is compiled, combini...
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03/20/2020
Tensor Completion through Total Variationwith Initialization from Weighted HOSVD
In our paper, we have studied the tensor completion problem when the sam...
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03/19/2020
HOSVD-Based Algorithm for Weighted Tensor Completion
Matrix completion, the problem of completing missing entries in a data m...
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01/08/2020
Stability of Sampling for CUR Decompositions
This article studies how to form CUR decompositions of low-rank matrices...
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08/21/2019
Perturbations of CUR Decompositions
The CUR decomposition is a factorization of a low-rank matrix obtained b...
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07/29/2019
Perspectives on CUR Decompositions
This note discusses an interesting matrix factorization called the CUR D...
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03/22/2019
