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Branko Ristić

3 أوراق في مجموعة PaperMetrix

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أوراق هذا المؤلف

  1. Learning the Parameters of Spatially-Referring Natural Language Likelihoods in Binary Models

    2018

    Despite imprecision and possible ambiguity expressed by spatially referring natural language statements, they are potentially useful “measurements” (also known as soft data) for target localisation and tracking. The likelihood functions of such measurements typically include …

  2. Chernoff fusion of Bernoulli Gaussian max filters

    2024 · arXiv (Cornell University)

    Statistical dependencies between information sources are rarely known, yet in practical distributed tracking schemes, they must be taken into account in order to prevent track divergences. Chernoff fusion is well-known and universally accepted method that …

  3. A Comparative Study of Bernoulli Gaussian-max Filter and Bernoulli Gaussian-sum Filter

    2024

    As a class of exact Bayesian filtering algorithms for non-linear/non-Gaussian recursive estimation of dynamic stochastic systems which can randomly switch on and off, the Bernoulli filter has been extensively studied and applied in target tracking …