Transparency and the ubiquity of information filtration?
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In past decades, the notion of information filtering was primarily associated with censorship and repressive, non-democratic countries and regimes. However, in the twenty-first century, filtration has become a widespread and increasingly normalised part of daily life. From email filters—designating some messages important, some less important, and others not worth reading at all (spam)—to social networks—with Facebook and Twitter harnessing social ties to curate, sort and share media—through to the biggest filtering agents, the search engines—whose self-professed aims include sorting, and thus implicitly filtering, all our information—filters are inescapable in a digital culture. However, as filtering becomes ubiquitous and normalised, are citizens en masse becoming too accepting or, worse, largely ignorant, of the power these filters hold?
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Battistello, G.; Ulmke, M.; Papi, Francesco; Podt, M.; Boers, Y. (2012)Bayesian non-linear filtering is considered in this paper for the state vector estimation of manoeuvring targets at sea. Innovative schemes based on the Extended Kaiman Filter and the Particle Filter are derived by the ...
Garcia Fernandez, Angel; Morelande, M.; Grajal, J. (2012)We devise a filtering algorithm to approximate the first two moments of the posterior probability density function (PDF). The novelties of the algorithm are in the update step. If the likelihood has a bounded support, we ...
Papi, Francesco; Podt, M.; Boers, Y.; Battistello, G.; Ulmke, M. (2012)Nonlinear target tracking is a well known problem, and its Bayes optimal solution, based on particle filtering techniques, is nowadays applied in high performance surveillance systems. Nonetheless, the practical application ...