57 citations · 64 across the 7 of their papers we have counts for
3 papers · 1 filter
A Connectedness Constraint for Learning Sparse Graphs
Martin Sundin, Arun Venkitaraman, Magnus Jansson +1
Graphs are naturally sparse objects that are used to study many problems involving networks, for example, distributed learning and graph signal processing. In some cases, the graph…
Bayesian Learning for Low-Rank matrix reconstruction
Martin Sundin, Cristian R. Rojas, Magnus Jansson +1
We develop latent variable models for Bayesian learning based low-rank matrix completion and reconstruction from linear measurements. For under-determined systems, the developed me…
Combined modeling of sparse and dense noise for improvement of Relevance Vector Machine
Martin Sundin, Saikat Chatterjee, Magnus Jansson
Using a Bayesian approach, we consider the problem of recovering sparse signals under additive sparse and dense noise. Typically, sparse noise models outliers, impulse bursts or da…