2004 search results - page 10 / 401 » Sampling from large graphs |
105
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GECCO
2008
Springer
15 years 22 days ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
124
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TMI
2011
14 years 6 months ago
2011
Abstract—Many practical applications require the reconstruction of images from irregularly sampled data. The spline formalism offers an attractive framework for solving this prob...
ICRA
2005
IEEE
15 years 5 months ago
2005
IEEE
Abstract— High-dimensional problems arising from complex robotic systems test the limits of current motion planners and require the development of efficient distributed motion p...
208
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3DIM
2007
IEEE
15 years 6 months ago
2007
IEEE
We propose an algorithm for surface reconstruction from unorganized points based on a view of the sampling process as a deformation from the original surface. In the course of thi...
UAI
2003
15 years 1 months ago
2003
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...