Binary Independent Component Analysis with or Mixtures

Independent component analysis (ICA) is a computational method for separating a multivariate signal into subcomponents assuming the mutual statistical independence of the non-Gaussian source signals. The classical independent components analysis (ICA) framework usually assumes linear combinations of independent sources over the field of real-valued numbers ${\cal R}$. In this paper, we investigate binary ICA for or mixtures (bICA), which can …