625 search results - page 19 / 125 » Large-scale manifold learning |
158
Voted
ICML
2007
IEEE
16 years 4 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 ...
133
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PKDD
2009
Springer
15 years 9 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, ...
142
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FGR
2004
IEEE
15 years 7 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-...
126
Voted
ICPR
2010
IEEE
15 years 6 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...
165
Voted
ICIP
2007
IEEE
16 years 5 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...