57 citations · 214 across the 16 of their papers we have counts for
5 papers · 1 filter
Diffusion Estimation Over Cooperative Multi-Agent Networks With Missing Data
Mohammad Reza Gholami, Magnus Jansson, Erik G. Ström +1
In many fields, and especially in the medical and social sciences and in recommender systems, data are gathered through clinical studies or targeted surveys. Participants are gener…
Alternating Strategies Are Good For Low-Rank Matrix Reconstruction
Kezhi Li, Martin Sundin, Cristian R. Rojas +2
This article focuses on the problem of reconstructing low-rank matrices from underdetermined measurements using alternating optimization strategies. We endeavour to combine an alte…
Relevance Singular Vector Machine for low-rank matrix sensing
Martin Sundin, Saikat Chatterjee, Magnus Jansson +1
In this paper we develop a new Bayesian inference method for low rank matrix reconstruction. We call the new method the Relevance Singular Vector Machine (RSVM) where appropriate p…
DOA Estimation in Partially Correlated Noise Using Low-Rank/Sparse Matrix Decomposition
Mohammadreza Malek-Mohammadi, Magnus Jansson, Arash Owrang +2
We consider the problem of direction-of-arrival (DOA) estimation in unknown partially correlated noise environments where the noise covariance matrix is sparse. A sparse noise cova…
Estimation for the Linear Model with Uncertain Covariance Matrices
Dave Zachariah, Nafiseh Shariati, Mats Bengtsson +2
We derive a maximum a posteriori estimator for the linear observation model, where the signal and noise covariance matrices are both uncertain. The uncertainties are treated probab…