42 citations · 153 across the 10 of their papers we have counts for
10 papers
Fusing restricted information
Magnus Jändel, Pontus Svenson, Ronnie Johansson
Information fusion deals with the integration and merging of data and information from multiple (heterogeneous) sources. In many cases, the information that needs to be fused has s…
Online learnability of Statistical Relational Learning in anomaly detection
Magnus Jändel, Pontus Svenson, Niclas Wadströmer
Statistical Relational Learning (SRL) methods for anomaly detection are introduced via a security-related application. Operational requirements for online learning stability are ou…
Ensemble approaches for improving community detection methods
Johan Dahlin, Pontus Svenson
Statistical estimates can often be improved by fusion of data from several different sources. One example is so-called ensemble methods which have been successfully applied in area…
Extremal optimization for sensor report pre-processing
Pontus Svenson
We describe the recently introduced extremal optimization algorithm and apply it to target detection and association problems arising in pre-processing for multi-target tracking. H…
Comparing Multi-Target Trackers on Different Force Unit Levels
Hedvig Sidenbladh, Pontus Svenson, Johan Schubert
Consider the problem of tracking a set of moving targets. Apart from the tracking result, it is often important to know where the tracking fails, either to steer sensors to that pa…
Determining possible avenues of approach using ANTS
Pontus Svenson, Hedvig Sidenbladh
Threat assessment is an important part of level 3 data fusion. Here we study a subproblem of this, worst-case risk assessment. Inspired by agent-based models used for simulation of…