335 search results - page 3 / 67 » Neighborly Embedded Manifolds |
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
CVPR
2007
IEEE
14 years 2 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
ICML
2004
IEEE
14 years 2 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 ...
MICCAI
2007
Springer
14 years 9 months ago
2007
Springer
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
CRV
2005
IEEE
14 years 2 months ago
2005
IEEE
We present an approach to recognizing faces with varying appearances which also considers the relative probability of occurrence for each appearance. We propose and demonstrate ex...