8 citations · 8 across the 3 of their papers we have counts for
4 papers
Bayesian Approach with Extended Support Estimation for Sparse Regression
Kyung-Su Kim, Sae-Young Chung
A greedy algorithm called Bayesian multiple matching pursuit (BMMP) is proposed to estimate a sparse signal vector and its support given linear measurements. Unlike the maximum…
Fourier Phase Retrieval with Extended Support Estimation via Deep Neural Network
Kyung-Su Kim, Sae-Young Chung
We consider the problem of sparse phase retrieval from Fourier transform magnitudes to recover the -sparse signal vector and its support . We exploit extended suppo…
Tree Search Network for Sparse Regression
Kyung-Su Kim, Sae-Young Chung
We consider the classical sparse regression problem of recovering a sparse signal given a measurement vector . We propose a tree search algorithm driven by the de…
Greedy Subspace Pursuit for Joint Sparse Recovery
Kyung Su Kim, Sae-Young Chung
In this paper, we address the sparse multiple measurement vector (MMV) problem where the objective is to recover a set of sparse nonzero row vectors or indices of a signal matrix f…