625 search results - page 23 / 125 » Large-scale manifold learning |
IWANN
2005
Springer
14 years 3 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...
NIPS
2004
13 years 11 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...
ICMLA
2008
13 years 11 months ago
2008
We are interested in learning an adaptive local metric on a lower dimensional manifold for query
AAAI
2008
14 years 5 days 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...
ICPR
2010
IEEE
13 years 7 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 ...