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Matches in SemOpenAlex for { <https://semopenalex.org/work/W1990299632> ?p ?o ?g. }

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• W1990299632 abstract "This paper presents a stable and fast algorithm for independent component analysis with reference (ICA-R). This is a technique for incorporating available reference signals into the ICA contrast function so as to form an augmented Lagrangian function under the framework of constrained ICA (cICA). The previous ICA-R algorithm was constructed by solving the optimization problem via a Newton-like learning style. Unfortunately, the slow convergence and potential misconvergence limit the capability of ICA-R. This paper first investigates and probes the flaws of the previous algorithm and then introduces a new stable algorithm with a faster convergence speed. There are two other highlights in this paper: first, new approaches, including the reference deflation technique and a direct way of obtaining references, are introduced to facilitate the application of ICA-R; second, a new method is proposed that the new ICA-R is used to recover the complete underlying sources with new advantages compared with other classical ICA methods. Finally, the experiments on both synthetic and real-world data verify the better performance of the new algorithm over both previous ICA-R and other well-known methods." @default.
• W1990299632 created "2016-06-24" @default.
• W1990299632 creator A5062105115 @default.
• W1990299632 date "2014-05-14" @default.
• W1990299632 modified "2023-10-16" @default.
• W1990299632 title "A Novel Algorithm for Independent Component Analysis with Reference and Methods for Its Applications" @default.
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• W1990299632 doi "https://doi.org/10.1371/journal.pone.0093984" @default.
• W1990299632 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4020756" @default.
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