Paper proposes a new model and methods for robustly de-interleaving HMP mixtures.
problem Lack of robustness to non-ideal situations in existing HMP mixtures de-interleaving methods.
method Designs a generative model, formulates de-interleaving as posterior inference, develops exact and approximate inference methods, derives error probability bounds.
result Proposed methods are highly effective and robust for non-ideal situations, outperforming baseline methods.