885 search results - page 1 / 177 » Hierarchical Structuring of Data on Manifolds |
125
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CVPR
2007
IEEE
15 years 9 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
145
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
We present an algorithm, Hierarchical ISOmetric SelfOrganizing Map (H-ISOSOM), for a concise, organized manifold representation of complex, non-linear, large scale, high-dimension...
134
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ICRA
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract— In this paper, we present a new hierarchical optimization solution to the graph-based simultaneous localization and mapping (SLAM) problem. During online mapping, the a...
126
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ICML
2007
IEEE
16 years 3 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...
122
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ICPR
2010
IEEE
15 years 6 months ago
2010
IEEE
—The problem we address in the paper is how to learn a joint representation from data lying on multiple manifolds. We are given multiple data sets and there is an underlying comm...