A Riemannian manifold optimization strategy is proposed to facilitate the relaxation of the
orthonormality constraint in a more natural way in the course of performing independent
component analysis (ICA) that employs a mutual information-based source-adaptive
contrast function. Despite the extensive development of manifold techniques catering to the
orthonormality constraint, only a limited number of works have been dedicated to oblique
manifold (OB) algorithms to intrinsically handle the normality constraint, which has been …

A Riemannian manifold optimization strategy is proposed to facilitate the relaxation of the
orthonormality constraint in a more natural way in the course of performing independent
component analysis (ICA) that employs a mutual information-based source-adaptive
contrast function. Despite the extensive development of manifold techniques catering to the
orthonormality constraint, only a limited number of works have been dedicated to oblique
manifold (OB) algorithms to intrinsically handle the normality constraint, which has been …