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- aggregation classification "A1".
- aggregation creator B510202.
- aggregation creator B510203.
- aggregation creator person.
- aggregation date "2008".
- aggregation hasFormat 676278.bibtex.
- aggregation hasFormat 676278.csv.
- aggregation hasFormat 676278.dc.
- aggregation hasFormat 676278.didl.
- aggregation hasFormat 676278.doc.
- aggregation hasFormat 676278.json.
- aggregation hasFormat 676278.mets.
- aggregation hasFormat 676278.mods.
- aggregation hasFormat 676278.rdf.
- aggregation hasFormat 676278.ris.
- aggregation hasFormat 676278.txt.
- aggregation hasFormat 676278.xls.
- aggregation hasFormat 676278.yaml.
- aggregation isPartOf urn:issn:1070-9908.
- aggregation language "eng".
- aggregation subject "Technology and Engineering".
- aggregation title "A contrast for independent component analysis with priors on the source kurtosis signs".
- aggregation abstract "A contrast function for independent component analysis (ICA) is presented incorporating the prior knowledge on the sub-Gaussian or super-Gaussian character of the sources as described by their kurtosis signs. The contrast is related to the maximum likelihood principle, reduces the permutation indeterminacy typical of ICA, and proves particularly useful in the direct extraction of a source signal with distinct kurtosis sign. In addition, its numerical maximization can be performed cost-effectively by a Jacobi-like pairwise iteration. Extensions to standardized cumulants of orders other than four are also given.".
- aggregation authorList BK855188.
- aggregation endPage "504".
- aggregation startPage "501".
- aggregation volume "15".
- aggregation isDescribedBy 676278.
- aggregation similarTo LSP.2008.919845.
- aggregation similarTo LU-676278.