875 search results - page 7 / 175 » Linear Manifold Clustering |
66
Voted
ENTCS
2006
15 years 23 days 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...
108
Voted
AAAI
2008
15 years 3 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...
95
Voted
COLT
2005
Springer
15 years 6 months 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...
116
Voted
ICASSP
2011
IEEE
14 years 4 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...
134
click to vote
KDD
2007
ACM
16 years 1 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...