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- W2132299333 abstract "We derive an asymptotic Newton algorithm for quasi-maximum likelihood estimation of the ICA mixture model, using the ordinary gradient and Hessian. The probabilistic mixture framework yields an algorithm that can accommodate non-stationary environments and arbitrary source densities. We prove asymptotic stability when the source models match the true sources. An example application to EEC segmentation is given." @default.
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- W2132299333 date "2008-03-01" @default.
- W2132299333 modified "2023-10-16" @default.
- W2132299333 title "Newton method for the ICA mixture model" @default.
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- W2132299333 doi "https://doi.org/10.1109/icassp.2008.4517982" @default.
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