Longxiu Huang | DeepAI

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Pengyu Li
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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,...

0 HanQin Cai, et al. ∙

∙ 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...

0 Zheng Tan, et al. ∙

∙ 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 ...

8 HanQin Cai, et al. ∙

∙ 02/28/2022

Distributed randomized Kaczmarz for the adversarial workers

Developing large-scale distributed methods that are robust to the presen...

0 Xia Li, et al. ∙

∙ 01/31/2022

Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents

Classification and topic modeling are popular techniques in machine lear...

4 Pengyu Li, et al. ∙

∙ 09/28/2021

Robust recovery of bandlimited graph signals via randomized dynamical sampling

Heat diffusion processes have found wide applications in modelling dynam...

0 Longxiu Huang, et al. ∙

∙ 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...

0 Akram Aldroubi, et al. ∙

∙ 08/23/2021

Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition

We study the problem of tensor robust principal component analysis (TRPC...

4 HanQin Cai, et al. ∙

∙ 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...

5 HanQin Cai, et al. ∙

∙ 01/05/2021

Robust CUR Decomposition: Theory and Imaging Applications

This paper considers the use of Robust PCA in a CUR decomposition framew...

1 HanQin Cai, et al. ∙

∙ 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...

1 HanQin Cai, et al. ∙

∙ 09/07/2020

COVID-19 Literature Topic-Based Search via Hierarchical NMF

A dataset of COVID-19-related scientific literature is compiled, combini...

0 Rachel Grotheer, et al. ∙

∙ 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...

0 Zehan Chao, et al. ∙

∙ 03/19/2020

HOSVD-Based Algorithm for Weighted Tensor Completion

Matrix completion, the problem of completing missing entries in a data m...

0 Longxiu Huang, et al. ∙

∙ 01/08/2020

Stability of Sampling for CUR Decompositions

This article studies how to form CUR decompositions of low-rank matrices...

0 Keaton Hamm, et al. ∙

∙ 08/21/2019

Perturbations of CUR Decompositions

The CUR decomposition is a factorization of a low-rank matrix obtained b...

0 Keaton Hamm, et al. ∙

∙ 07/29/2019

Perspectives on CUR Decompositions

This note discusses an interesting matrix factorization called the CUR D...

0 Keaton Hamm, et al. ∙

∙ 03/22/2019

CUR Decompositions, Approximations, and Perturbations

This article discusses a useful tool in dimensionality reduction and low...

0 Keaton Hamm, et al. ∙

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