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- W1571599052 abstract "In this chapter, we introduce the KICA (kernel independent component analysis) that includes KCCA (kernel canonical correlation analysis) and KGV (kernel generalized variance) and its contrast function that is based mainly on correlativity in RKHS (reproducing kernel Hilbert spaces). KICA is based on use of the entire possible nonlinear function space for solving the problem. Use of the function space makes KICA suitable for different distribution sources and robust to varying sources." @default.
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- W1571599052 date "2014-01-03" @default.
- W1571599052 modified "2023-10-17" @default.
- W1571599052 title "Kernel Independent Component Analysis" @default.
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- W1571599052 doi "https://doi.org/10.1002/9781118679852.ch9" @default.
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