Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Svenson, Pontus"'
Publikováno v:
Proc 15th Int Conf Information Fusion (2012)
Statistical Relational Learning (SRL) methods for anomaly detection are introduced via a security-related application. Operational requirements for online learning stability are outlined and compared to mathematical definitions as applied to the lear
Externí odkaz:
http://arxiv.org/abs/1705.06573
Publikováno v:
Proc 17th Int Conf on Information Fusion (2014)
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 security classification. The result of the fusion process is then by ne
Externí odkaz:
http://arxiv.org/abs/1706.05913
Autor:
Dahlin, Johan, Svenson, Pontus
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 areas such as machine learning for classification and clustering. In this
Externí odkaz:
http://arxiv.org/abs/1309.0242
Autor:
Svenson, Pontus
Publikováno v:
Proc SPIE Vol 5429, p 162-171 (2004)
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. Here we consider the problem of pre-processing for multiple target trac
Externí odkaz:
http://arxiv.org/abs/cs/0411072
Publikováno v:
Proc SPIE Vol 5429, p 306-314 (2004)
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 part of the state-space, or to inform a human operator about the status
Externí odkaz:
http://arxiv.org/abs/cs/0411071
Autor:
Svenson, Pontus, Sidenbladh, Hedvig
Publikováno v:
Proc 6th Int Conf Information Fusion, Cairns, p 1110 (2003)
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 trail formation for urban planning, we use ant colony optimization (A
Externí odkaz:
http://arxiv.org/abs/nlin/0304006
Autor:
Svenson, Pontus, Johnston, Des
Publikováno v:
PRE 65, 036105 (2002)
We study damage-spreading in the ferromagnetic Ising model on small world networks using Monte Carlo simulation with Glauber dynamics. The damage spreading temperature $T_d$ is determined as a function of rewiring probability $p$ for small world netw
Externí odkaz:
http://arxiv.org/abs/cond-mat/0107555
Autor:
Svenson, Pontus
In this note, we present results for the colouring problem on small world graphs created by rewiring square, triangular, and two kinds of cubic (with coordination numbers 5 and 6) lattices. As the rewiring parameter p tends to 1, we find the expected
Externí odkaz:
http://arxiv.org/abs/cs/0107015
Autor:
Svenson, Pontus
Publikováno v:
PRE 64 036122
Using T=0 Monte Carlo and simulated annealing simulation, we study the energy relaxation of ferromagnetic Ising and Potts models on random graphs. In addition to the expected exponential decay to a zero energy ground state, a range of connectivities
Externí odkaz:
http://arxiv.org/abs/cond-mat/0105061
Autor:
Svenson, Pontus, Nordahl, Mats G.
Publikováno v:
Phys. Rev. E 59(4) 3983-3999 (1999)
Using T=0 Monte Carlo simulation, we study the relaxation of graph coloring (K-COL) and satisfiability (K-SAT), two hard problems that have recently been shown to possess a phase transition in solvability as a parameter is varied. A change from expon
Externí odkaz:
http://arxiv.org/abs/cond-mat/9810144