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Continual Learning For Infinite Hierarchical Change-Point Detection

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IEEE ICASSP 2020 Virtual Conference May 2020

Change-point detection (CPD) aims to locate abrupt transitions in the generative model of a sequence of observations. When Bayesian methods are considered, the standard practice is to infer the posterior distribution of the location of change points. Howe

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Continual Learning For Infinite Hierarchical Change-Point Detection

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Change-point detection (CPD) aims to locate abrupt transitions in the generative model of a sequence of observations. When Bayesian methods are considered, the standard practice is to infer the posterior distribution of the location of change points. Howe