57 citations · 214 across the 16 of their papers we have counts for
18 papers
A Semiparametric Framework for Stochastic Fundamental Diagram Modeling
Pengnan Chi, Xiaoliang Ma, Magnus Jansson +1
The stochastic fundamental diagram (SFD) provides a probabilistic description of the relationship between traffic density and flow or speed, enabling uncertainty-aware traffic mode…
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…
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…
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…
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…
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…