98 search results - page 3 / 20 » Regression on manifolds using kernel dimension reduction |
ISBI
2006
IEEE
14 years 7 months ago
2006
IEEE
We address the problem of classification of EEG recordings for the detection of epileptic seizures. We assume that the EEG measurements can be described by a low dimensional manif...
IDEAL
2010
Springer
13 years 4 months ago
2010
Springer
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
SAC
2005
ACM
13 years 12 months ago
2005
ACM
Video and image datasets can often be described by a small number of parameters, even though each image usually consists of hundreds or thousands of pixels. This observation is of...
ICASSP
2008
IEEE
14 years 26 days ago
2008
IEEE
Local intrinsic dimension estimation has been shown to be useful for many tasks such as image segmentation, anomaly detection, and de-biasing global dimension estimates. Of partic...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
We consider the problem of dimensionality reduction, where given high-dimensional data we want to estimate two mappings: from high to low dimension (dimensionality reduction) and f...