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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Fourier-Information Duality in the Identity Management Problem
verfasst von : Xiaoye Jiang, Jonathan Huang, Leonidas Guibas
Erschienen in: Machine Learning and Knowledge Discovery in Databases
Verlag: Springer Berlin Heidelberg
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We compare two recently proposed approaches for representing probability distributions over the space of permutations in the context of multi-target tracking. We show that these two representations, the Fourier approximation and the information form approximation can both be viewed as low dimensional projections of a true distribution, but with respect to different metrics. We identify the strengths and weaknesses of each approximation, and propose an algorithm for converting between the two forms, allowing for a
hybrid
approach that draws on the strengths of both representations. We show experimental evidence that there are situations where hybrid algorithms are favorable.