733 search results - page 12 / 147 » Learning Riemannian Metrics |
JMIV
2006
13 years 7 months ago
2006
Studying large deformations with a Riemannian approach has been an efficient point of view to generate metrics between deformable objects, and to provide accurate, non ambiguous an...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
We wish to endow the manifold M of smooth curves in lRn with a Riemannian metric that allows us to treat continuous morphs (homotopies) between two curves c0 and c1 as trajectorie...
JMLR
2012
11 years 10 months ago
2012
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
JMLR
2012
11 years 10 months ago
2012
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
