2033 search results - page 13 / 407 » Ranking on Data Manifolds |
ICML
2004
IEEE
15 years 3 months ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
144
click to vote
PRICAI
2010
Springer
14 years 8 months ago
2010
Springer
Manifold clustering, which regards clusters as groups of points around compact manifolds, has been realized as a promising generalization of traditional clustering. A number of lin...
89
Voted
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
An important class of image data sets depict an object undergoing deformation. When there are only a few underlying causes of the deformation, these images have a natural lowdimen...
CAIP
2009
Springer
15 years 4 months ago
2009
Springer
In this paper, we propose a supervised Smooth Multi-Manifold Embedding (SMME) method for robust identity-independent head pose estimation. In order to handle the appearance variati...
AAAI
2007
14 years 12 months ago
2007
A natural representation of data is given by the parameters which generated the data. If the space of parameters is continuous, then we can regard it as a manifold. In practice, w...