10 search results - page 1 / 2 » Manifold Integration with Markov Random Walks |
90
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AAAI
2008
15 years 20 hour ago
2008
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
UAI
2003
14 years 11 months ago
2003
We propose a framework to extend Markov random walks (Szummer and Jaakkola, 2001) to a continuum of points. In this framework, the transition probability between two points is the...
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ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
We propose an algorithm for detecting bridges and estimating geodesic distances from a set of noisy samples of an underlying manifold. Finding geodesics on a nearest neighbors gra...
NIPS
2007
14 years 11 months ago
2007
A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...
ACCV
2010
Springer
14 years 4 months ago
2010
Springer
Multi-view range image integration focuses on producing a single reasonable 3D point cloud from multiple 2.5D range images for the reconstruction of a watertight manifold surface. ...