SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Simpler core vector machines with enclosing balls
Proceedings of the 24th international conference on Machine learning
Computational Geometry: Theory and Applications
Hyperbolic Voronoi Diagrams Made Easy
ICCSA '10 Proceedings of the 2010 International Conference on Computational Science and Its Applications
Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fitting the smallest enclosing bregman ball
ECML'05 Proceedings of the 16th European conference on Machine Learning
Pattern learning and recognition on statistical manifolds: an information-geometric review
SIMBAD'13 Proceedings of the Second international conference on Similarity-Based Pattern Recognition
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We generalize the Euclidean 1-center approximation algorithm of Badoiu and Clarkson (2003) [6] to arbitrary Riemannian geometries, and study the corresponding convergence rate. We then show how to instantiate this generic algorithm to two particular settings: (1) the hyperbolic geometry, and (2) the Riemannian manifold of symmetric positive definite matrices.