B. Vemuri

Probabilistic Nested Homogeneous Spaces for Dimensionality Reduction

Dimensionality reduction is a key ingredient of many machine learning algorithms and is paramount to their success. For manifold-valued data, the nonlinear equivalent of the well-known principal component analysis (PCA), called, principal geodesic analysis (PGA) is used quite often. An alternative to PGA that is more g...