Multilinear Compressed Sensing using Tensor Least Angle Regression (T-LARS)

Author:

Wickramasingha Ishan1,Sherif Sherif1

Affiliation:

1. Department of Electrical and Computer Engineering, University of Manitoba, Canada

Publisher

ACM

Reference27 articles.

1. A scalable optimization approach for fitting canonical tensor decompositions

2. Probing the Pareto Frontier for Basis Pursuit Solutions

3. Introduction to compressed sensing

4. Cesar F. Caiafa and Andrzej Cichocki . 2012 . Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases. Neural Comput. 25, Ci (January 2012), 1–35. DOI:https://doi.org/10.1162/NECO_a_00385 Cesar F. Caiafa and Andrzej Cichocki. 2012. Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases. Neural Comput. 25, Ci (January 2012), 1–35. DOI:https://doi.org/10.1162/NECO_a_00385

5. Emmanuel J Candès . 2006 . Compressive sampling . In International Congress of Mathematicians, ICM 2006, 1433–1452. DOI:https://doi.org/10.4171/022-3/69 Emmanuel J Candès. 2006. Compressive sampling. In International Congress of Mathematicians, ICM 2006, 1433–1452. DOI:https://doi.org/10.4171/022-3/69

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