207 search results - page 9 / 42 » Regularized Principal Manifolds |
NIPS
2008
13 years 9 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...
CORR
2009
Springer
13 years 5 months ago
2009
Springer
We equip choreography-level session descriptions with a simple abstraction of a security infrastructure. Message components may be enclosed within (possibly nested) "boxes&quo...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
We propose a semi-supervised learning algorithm for discriminant analysis, which uses the geometric structure of both labeled and unlabeled samples and perform a manifold regulari...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
To learn a metric for query?based operations, we combine the concept underlying manifold learning algorithms and the minimum volume ellipsoid metric in a unified algorithm to find...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...