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20122026
most citedAlternating Least-Squares for Low-Rank Matrix Reconstruction

57 citations · 214 across the 16 of their papers we have counts for

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Showing 2015Show all

5 papers · 1 filter

cs.IT2015★ 41 cited

Successive Concave Sparsity Approximation for Compressed Sensing

Mohammadreza Malek-Mohammadi, Ali Koochakzadeh, Massoud Babaie-Zadeh +2

In this paper, based on a successively accuracy-increasing approximation of the norm, we propose a new algorithm for recovery of sparse vectors from underdetermined measur…

cs.IT2015

Upper Bounds on the Error of Sparse Vector and Low-Rank Matrix Recovery

Mohammadreza Malek-Mohammadi, Cristian R. Rojas, Magnus Jansson +1

Suppose that a solution to an underdetermined linear system is given. is approximately sparse…

stat.ML2015★ 1 cited

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…

stat.AP2015

Ranging without time stamps exchanging

Mohammad Reza Gholami, Satyam Dwivedi, Magnus Jansson +1

We investigate the range estimate between two wireless nodes without time stamps exchanging. Considering practical aspects of oscillator clocks, we propose a new model for ranging…

stat.ML2015★ 1 cited

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…