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06/26/2023
Subspace Recycling for Sequences of Shifted Systems with Applications in Image Recovery
For many applications involving a sequence of linear systems with slowly...
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06/19/2023
Multigrid preconditioning for regularized least-squares problems
In this paper, we are concerned with efficiently solving the sequences o...
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06/15/2023
Tensor BM-Decomposition for Compression and Analysis of Spatio-Temporal Third-order Data
Given tensors 𝒜, ℬ, 𝒞 of size m × 1 × n, m × p × 1, and 1× p × n, respec...
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07/27/2021
Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions
In this paper, we introduce a method for multivariate function approxima...
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05/03/2021
Structured Matrix Approximations via Tensor Decompositions
We provide a computational framework for approximating a class of struct...
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12/30/2019
An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction
We present a new inner-outer iterative algorithm for edge enhancement in...
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10/16/2019
Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs
Many irregular domains such as social networks, financial transactions, ...
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09/25/2019
Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications
In recent work (Soltani, Kilmer, Hansen, BIT 2016), an algorithm for non...
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05/17/2019
Randomized algorithms for low-rank tensor decompositions in the Tucker format
Many applications in data science and scientific computing involve large...
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06/08/2015
A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction
We consider tomographic reconstruction using priors in the form of a dic...
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07/19/2013