3 papers
cs.IT2019
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…
stat.ML2019
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…
cs.LG2019
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…