410 citations · 713 across the 33 of their papers we have counts for
4 papers · 1 filter
Clustering multi-way data: a novel algebraic approach
Eric Kernfeld, Shuchin Aeron, Misha Kilmer
In this paper, we develop a method for unsupervised clustering of two-way (matrix) data by combining two recent innovations from different fields: the Sparse Subspace Clustering (S…
Fast algorithms for hyperspectral Diffuse Optical Tomography
Arvind K. Saibaba, Misha Kilmer, Eric Miller +1
The image reconstruction of chromophore concentrations using Diffuse Optical Tomography (DOT) data can be described mathematically as an ill-posed inverse problem. Recent work has…
Novel methods for multilinear data completion and de-noising based on tensor-SVD
Zemin Zhang, Gregory Ely, Shuchin Aeron +2
In this paper we propose novel methods for completion (from limited samples) and de-noising of multilinear (tensor) data and as an application consider 3-D and 4- D (color) video d…
"Plug-and-Play" Edge-Preserving Regularization
Donghui Chen, Misha E. Kilmer, Per Christian Hansen
In many inverse problems it is essential to use regularization methods that preserve edges in the reconstructions, and many reconstruction models have been developed for this task,…