Using Riemannian Geometry for Source Separation
Finding hidden variables in data can be challenging. Using Blind Source Separation allows to exact the independent sources in a unsupervised way. However, the methods require usually strong optimization constraints in order to avoid degenerate solutions and/or improve convergence. By… (READ MORE)
