625 search results - page 78 / 125 » Large-scale manifold learning |
188
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Publication
Humans can verify unknown parent-offspring and sibling pairs over unrelated subject pairs. A computational scheme to accomplish the task robustly, in the presence of challenges due...
174
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ICDE
2012
IEEE
13 years 5 months ago
2012
IEEE
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
133
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We present a new method to estimate the intrinsic dimensionality of a submanifold M in Rd from random samples. The method is based on the convergence rates of a certain U-statisti...
106
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ISBI
2008
IEEE
16 years 4 months ago
2008
IEEE
Tracking of left ventricles in 3D echocardiography is a challenging topic because of the poor quality of ultrasound images and the speed consideration. In this paper, a fast and a...