Kernel Learning for Extrinsic Classification of Manifold Features

• Published in: 2013 IEEE Conference on Computer Vision and Pattern Recognition pp. 1782 - 1789
• Main Authors: Vemulapalli, Raviteja, Pillai, Jaishanker K., Chellappa, Rama
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2013
• Subjects: Covariance matrices; Extrinsic Classification; Face recognition; Grassmann Kernels; Kernel; Kernel Learning; Manifolds; Optimization; Riemannian Manifolds; Support vector machines; Vectors

In computer vision applications, features often lie on Riemannian manifolds with known geometry. Popular learning algorithms such as discriminant analysis, partial least squares, support vector machines, etc., are not directly applicable to such features due to the non-Euclidean nature of the underl...