468 search results - page 45 / 94 » Riemannian Manifold Learning |
JMLR
2010
13 years 2 months ago
2010
This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic fun...
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...
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...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...