Titlebook: Latent Variable Analysis and Signal Separation; 12th International C Emmanuel Vincent,Arie Yeredor,Petr Tichavský Conference proceedings 20

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Joint Decompositions with Flexible Couplingsnt decomposition can be cast in terms of a maximum . estimator. Examples of joint posterior distributions are provided, including general Gaussian priors and non Gaussian coupling priors. Then simulations are reported and show the effectiveness of this approach to fuse information from data sets, wh

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Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasetsmulti-rate factorization model for extracting multi-modal patterns from such multi-rate data. Our model builds up on previously proposed multi-view (coupled) nonnegative matrix factorization techniques, and extends them by accounting for heterogeneous sample rates and enabling the patterns to have a

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Philippe Dreesen,Thomas Goossens,Mariya Ishteva,Lieven De Lathauwer,Johan Schoukenscience and philosopherstwentieth-century literature about the distinction between explanation and und- standing)? Second, can we do justice to a particular writer’s notion of that category by taking at face value what he writes about his own motivation for adopting it? In response to both types of q

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Anh-Huy Phan,Petr Tichavský,Andrzej Cichockicience and philosopherstwentieth-century literature about the distinction between explanation and und- standing)? Second, can we do justice to a particular writer’s notion of that category by taking at face value what he writes about his own motivation for adopting it? In response to both types of q