Kernel methods on riemannian manifolds
Several branches of modern computer vision research make heavy use of machine learning techniques. Machine learning for computer vision generally deals with Euclidean data. However, with the advances in the field, mathematical objects lying in non-Euclidean spaces that can be naturally modeled as Riemannian manifolds are now commonly encountered in computer vision. Therefore, machine learning methods on Riemannian manifolds has become an interesting area of computer vision research. Many...[Show more]
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