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Alternating minimization algorithm for unlabeled sensing and linked linear regression

This repository contains the MATLAB implementation of the alternating minimization algorithm proposed in the paper Alternating Minimization algorithm for unlabeled sensing and linked linear regression.

DOI: https://doi.org/10.1016/j.sigpro.2025.109927

Instructions

  • For linux systems, replace ' \ ' at the beginning of the the main.m files in the figures folder by '/'.
  • To reproduce any of the results in [1], run the corerresponding file in the figures folder. For example, to reproduce Fig. 3(a), run the fig3a.m file in the folder Fig3.
  • To reproduce the results on real-datasets in Table 1, please first install CVX.
  • The sarcos dataset (see Table 1 of Reference) is a large dataset, with a long run-time. The results for that dataset are provided in the MATLAB data file sarcos.mat

References

[1]. Alternating Minimization algorithm for unlabeled sensing and linked linear regression. URL

[2]. Ahmed Ali Abbasi, Abiy Tasissa, and Shuchin Aeron. R-local unlabeled sensing: A novel graph matching approach for multiview unlabeled sensing under local permutations. IEEE Open Journal of Signal Processing, 2:309–317, 2021. URL

Feedback

Please email any feedback to the author Ahmed Ali Abbasi at [email protected].

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