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UAI
2003
13 years 11 months ago
Learning Riemannian Metrics
We consider the problem of learning a Riemannian metric associated with a given differentiable manifold and a set of points. Our approach to the problem involves choosing a metric...
Guy Lebanon
AMC
2006
79views more  AMC 2006»
13 years 10 months ago
Church's thesis meets the N-body problem
``Church's thesis'' is at the foundation of computer science. We point out that with any particular set of physical laws, Church's thesis need not merely be po...
Warren D. Smith
COR
2006
110views more  COR 2006»
13 years 10 months ago
Curling's paradox
There is an age old debate in curling about whether it is better to be down one point with last shot, or ahead by one point without. The objective of this paper is to apply sensit...
Kent J. Kostuk, Keith A. Willoughby
JMIV
2006
94views more  JMIV 2006»
13 years 10 months ago
Geodesic Shooting for Computational Anatomy
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...
Michael I. Miller, Alain Trouvé, Laurent Yo...
SIAMJO
2008
93views more  SIAMJO 2008»
13 years 10 months ago
Recursive Trust-Region Methods for Multiscale Nonlinear Optimization
A class of trust-region methods is presented for solving unconstrained nonlinear and possibly nonconvex discretized optimization problems, like those arising in systems governed by...
Serge Gratton, Annick Sartenaer, Philippe L. Toint