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20062023
most citedInformation theoretic bounds for Compressed Sensing

133 citations · 683 across the 44 of their papers we have counts for

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5 papers · 1 filter

eess.SP2022

Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing

Ahmed Abbasi, Shuchin Aeron, Abiy Tasissa

Unlabeled sensing is a linear inverse problem with permuted measurements. We propose an alternating minimization (AltMin) algorithm with a suitable initialization for two widely co…

eess.SP2021★ 7 cited

r-local sensing: Improved algorithm and applications

Ahmed Ali Abbasi, Abiy Tasissa, Shuchin Aeron

The unlabeled sensing problem is to solve a noisy linear system of equations under unknown permutation of the measurements. We study a particular case of the problem where the perm…

eess.SP2020

On Matched Filtering for Statistical Change Point Detection

Kevin C. Cheng, Eric L. Miller, Michael C. Hughes +1

Non-parametric and distribution-free two-sample tests have been the foundation of many change point detection algorithms. However, randomness in the test statistic as a function of…

eess.SP2019★ 9 cited

R-local unlabeled sensing: A novel graph matching approach for multiview unlabeled sensing under local permutations

Ahmed Abbasi, Abiy Tasissa, Shuchin Aeron

Unlabeled sensing is a linear inverse problem where the measurements are scrambled under an unknown permutation leading to loss of correspondence between the measurements and the r…

eess.SP2019

Optimal Transport Based Change Point Detection and Time Series Segment Clustering

Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes +2

Two common problems in time series analysis are the decomposition of the data stream into disjoint segments that are each in some sense "homogeneous" - a problem known as Change Po…