625 search results - page 23 / 125 » Large-scale manifold learning |
131
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IWANN
2005
Springer
15 years 8 months ago
2005
Springer
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when le...
115
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NIPS
2004
15 years 4 months ago
2004
Recently, there have been several advances in the machine learning and pattern recognition communities for developing manifold learning algorithms to construct nonlinear low-dimen...
114
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ICMLA
2008
15 years 4 months ago
2008
We are interested in learning an adaptive local metric on a lower dimensional manifold for query
131
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AAAI
2008
15 years 5 months 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...
110
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ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside ...