research
∙
04/21/2022
Parametric Level-sets Enhanced To Improve Reconstruction (PaLEnTIR)
In this paper, we consider the restoration and reconstruction of piecewi...
share
research
∙
01/28/2020
A survey of subspace recycling iterative methods
This survey concerns subspace recycling methods, a popular class of iter...
research
∙
12/31/2019
Tensor-Tensor Products for Optimal Representation and Compression
In this era of big data, data analytics and machine learning, it is impe...
research
∙
11/15/2018
Stable Tensor Neural Networks for Rapid Deep Learning
We propose a tensor neural network (t-NN) framework that offers an excit...
research
∙
06/29/2017
Image classification using local tensor singular value decompositions
From linear classifiers to neural networks, image classification has bee...
research
∙
12/21/2015
Multilinear Subspace Clustering
In this paper we present a new model and an algorithm for unsupervised c...
research
∙
12/22/2014
Clustering multi-way data: a novel algebraic approach
In this paper, we develop a method for unsupervised clustering of two-wa...
research
∙
07/07/2014
Novel methods for multilinear data completion and de-noising based on tensor-SVD
In this paper we propose novel methods for completion (from limited samp...
research
∙
07/02/2013
