875 search results - page 7 / 175 » Linear Manifold Clustering |
ENTCS
2006
13 years 7 months ago
2006
Extending the work of [7] on groups definable in compact complex manifolds and of [1] on strongly minimal groups definable in nonstandard compact complex manifolds, we classify al...
AAAI
2008
13 years 9 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...
COLT
2005
Springer
14 years 26 days ago
2005
Springer
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed āmanifold-motivatedā...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We start with a locally deļ¬ned principal curve deļ¬nition for a given probability density function (pdf) and deļ¬ne a pairwise manifold score based on local derivatives of the...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...