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Track fusion is the problem of combining tracks based on different sensor observations. In the sequential Monte Carlo framework, track fusion is solved by either imposing linear or Gaussian assumptions, or relying on kernel density estimation (KDE). In this paper, we introduce a novel track fusion algorithm suited to the hierarchical multi-sensor architecture. The algorithm can be incorporated in...
Tracking of multiple objects via particle filtering faces the difficulty of dealing effectively with high dimensional state spaces. One efficient solution consists of integrating Markov chain Monte Carlo (MCMC) sampling at the core of the particle filter. To accomplish such integration, a few different approaches have been proposed in the literature during the last decade. In this paper, we introduce...
This paper introduces the Langevin Monte Carlo Filter (LMCF), a particle filter with a Markov chain Monte Carlo algorithm which draws proposals by simulating Hamiltonian dynamics. This approach is well suited to non-linear filtering problems in high dimensional state spaces where the bootstrap filter requires an impracticably large number of particles. The simulation of Hamiltonian dynamics is motivated...
Refeeding after acute pancreatitis (AP) is traditionally started in a successively increasing manner when abdominal pain is absent and pancreatic enzymes are decreasing. We aimed to evaluate length of hospital stay (LOHS) and refeeding tolerance for early refeeding and/or immediately full caloric intake in patients recovering from AP.In this randomized, open-label trial, patients with AP were randomized...
This paper proposes techniques to improve the properties of Sequential Markov Chain Monte Carlo (SMCMC) methods in the context of multi-target tracking. In particular, we extend the Interacting Population-based MCMC Particle Filter (IP-MCMC-PF) with three different methods: delayed rejection, genetic algorithms, and simulated annealing. Each of these methods furnishes the IP-MCMC-PF algorithm with...
Little is known about risk factors for complications in chronic pancreatitis (CP). High fat diet (HFD) has been demonstrated to aggravate pancreatic injury in animal models. The aim of this study was to investigate the role of HFD in age at diagnosis of CP and probability of CP related complications.A cross-sectional case–case study was performed within a prospectively collected cohort of patients...
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