26 search results - page 3 / 6 » Statistical Computing on Manifolds: From Riemannian Geometry... |
NIPS
2008
13 years 6 months ago
2008
This paper discusses non-parametric regression between Riemannian manifolds. This learning problem arises frequently in many application areas ranging from signal processing, comp...
3DPVT
2006
IEEE
13 years 11 months ago
2006
IEEE
This paper addresses the challenging problem of statistics on images by describing average and variability. We describe computational anatomy tools for building 3-D and spatio-tem...
CVPR
2008
IEEE
13 years 11 months ago
2008
IEEE
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
GI
2009
Springer
13 years 2 months ago
2009
Springer
: Statistics and estimation theory is enriched with techniques derived from differential geometry. This establishes the increasing topic of information geometry. This allows new in...
COMPGEOM
2009
ACM
13 years 11 months ago
2009
ACM
Integration over a domain, such as a Euclidean space or a Riemannian manifold, is a fundamental problem across scientific fields. Many times, the underlying domain is only acces...