Learning On Matrix Manifolds

Many problems in computer vision uses matrices (or tensors) to describe data. Matrix spaces have a so-called manifold structure. I am interested in building machine learning approaches for classification and regression problems on those spaces. I spent most of my efforts in working on SPD (Symmetric Positive Definite) matrices (see Tosato et al. - 2010).