Fast Kernel-Based Independent Component Analysis - Hao Shen; Jegelka, S.; Gretton, A. (IEEE transactions on signal processing, 2009)
Keywords: Algorithms; Applied sciences; Approximate Newton-like methods; Computational efficiency; Criteria; Cybernetics; Estimates; Exact sciences and technology; Extraterrestrial measurements; Hilbert-Schmidt independence criterion; Independent component analysis; independent component analysis (ICA); Information, signal and communications theory; Kernel; kernel methods; Kernels; Machine learning; Mathematical models; Miscellaneous; Mutual information; Optimization; Optimization methods; orthogonal group; Parametric statistics; Particle measurements; Signal processing; Studies; Telecommunications and information theory; Performance evaluation; Approximate method; Independent component analysis; Matrix decomposition; Algorithm; Hilbert-Schmidt independence criterion; Optimization; Kernel method; Outlier; Kernel function; Accuracy; Flattening; Cholesky method; independent component analysis (ICA); Descent method; Signal processing; kernel methods; Approximate Newton-like methods; Open market; Newton method; Gradient method; orthogonal group