625 search results - page 19 / 125 » Large-scale manifold learning |
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
PKDD
2009
Springer
14 years 4 months ago
2009
Springer
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
FGR
2004
IEEE
14 years 1 months ago
2004
IEEE
Faces under varying illumination, pose and non-rigid deformation are empirically thought of as a highly nonlinear manifold in the observation space. How to discover intrinsic low-...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
—The problem we address in the paper is how to learn a joint representation from data lying on multiple manifolds. We are given multiple data sets and there is an underlying comm...
ICIP
2007
IEEE
14 years 11 months ago
2007
IEEE
The problem of human activity recognition via visual stimuli can be approached using manifold learning, since the silhouette (binary) images of a person undergoing a smooth motion...