154 search results - page 26 / 31 » Incremental Nonlinear Dimensionality Reduction by Manifold L... |
ICML
2006
IEEE
16 years 13 days ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
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CORR
2011
Springer
14 years 6 months ago
2011
Springer
—We consider the problem of positioning a cloud of points in the Euclidean space Rd , from noisy measurements of a subset of pairwise distances. This task has applications in var...
WACV
2005
IEEE
15 years 5 months ago
2005
IEEE
Isomap is an exemplar of a set of data driven nonlinear dimensionality reduction techniques that have shown promise for the analysis of images and video. These methods parameteriz...
ECCV
2002
Springer
16 years 1 months ago
2002
Springer
A visual representation of an object must meet at least three basic requirements. First, it must allow identification of the object in the presence of slight but unpredictable chan...
ICML
2010
IEEE
15 years 21 days ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...