319 search results - page 8 / 64 » Learning Nonlinear Manifolds from Time Series |
AAAI
2012
12 years 12 months ago
2012
Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
ICCV
1999
IEEE
15 years 1 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
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NECO
1998
14 years 9 months ago
1998
We derive solutions for the problem of missing and noisy data in nonlinear timeseries prediction from a probabilistic point of view. We discuss different approximations to the so...
111
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MICCAI
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...