activity
20132023
most citedA Solution for Multi-Alignment by Transformation Synchronisation

60 citations · 178 across the 22 of their papers we have counts for

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Showing 2016Show all

7 papers · 1 filter

eess.SY2016★ 2 cited

Dynamic Network Reconstruction from Heterogeneous Datasets

Zuogong Yue, Johan Thunberg, Wei Pan +2

Performing multiple experiments is common when learning internal mechanisms of complex systems. These experiments can include perturbations to parameters or external disturbances.…

cs.CV2016

A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching

Florian Bernard, Frank R. Schmidt, Johan Thunberg +1

We propose a combinatorial solution for the problem of non-rigidly matching a 3D shape to 3D image data. To this end, we model the shape as a triangular mesh and allow each triangl…

math.OC2016

Almost global consensus on the n-sphere

Johan Markdahl, Johan Thunberg, Jorge Goncalves

This paper establishes novel results regarding the global convergence properties of a large class of consensus protocols for multi-agent systems that evolve in continuous time on t…

eess.SY2016★ 5 cited

Inverse Problems for Matrix Exponential in System Identification: System Aliasing

Zuogon Yue, Johan Thunberg, Jorge Goncalves

This note addresses identification of the -matrix in continuous time linear dynamical systems on state-space form. If this matrix is partially known or known to have a sparse st…

eess.SY2016

Identification of Sparse Continuous-Time Linear Systems with Low Sampling Rate: Optimization Approaches

Zuogong Yue, Johan Thunberg, Lennart Ljung +1

This paper addresses identification of sparse linear and noise-driven continuous-time state-space systems, i.e., the right-hand sides in the dynamical equations depend only on a su…

eess.SY2016★ 3 cited

Systems Aliasing in Dynamic Network Reconstruction: Issues on Low Sampling Frequencies

Zuogon Yue, Johan Thunberg, Lennart Ljung +2

Network reconstruction of dynamical continuous-time (CT) systems is motivated by applications in many fields. Due to experimental limitations, especially in biology, data could be…

cs.CV2016★ 48 cited

Shape-aware Surface Reconstruction from Sparse 3D Point-Clouds

Florian Bernard, Luis Salamanca, Johan Thunberg +7

The reconstruction of an object's shape or surface from a set of 3D points plays an important role in medical image analysis, e.g. in anatomy reconstruction from tomographic measur…