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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Kim, Du Yong; Jeon, M. (2013)New nonlinear filtering algorithms are designed based on a receding horizon strategy, i.e., a finite impulse response (FIR) structure, and square root information filtering to achieve high accuracy and good performance ...
Hong Yoon, J.; Kim, Du Yong; Yoon, K. (2012)In this paper, we propose a novel implementation of the probability hypothesis density (PHD) filter based on the sequential Monte Carlo (SMC) method called SMC-PHD filter. The SMC-PHD filter is analogous to the sequential ...
Yoon, J.; Kim, Du Yong; Yoon, K. (2013)The unscented sequential Monte Carlo probability hypothesis density (USMC-PHD) filter has been proposed to improve the accuracy performance of the bootstrap SMC-PHD filter in cluttered environments. However, the USMC-PHD ...