335 search results - page 22 / 67 » Neighborly Embedded Manifolds |
ICANN
2009
Springer
14 years 3 months ago
2009
Springer
Simbed, standing for similarity-based embedding, is a new method of embedding high-dimensional data. It relies on the preservation of pairwise similarities rather than distances. I...
SCALESPACE
2007
Springer
14 years 2 months ago
2007
Springer
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...
ISBI
2008
IEEE
14 years 9 months ago
2008
IEEE
The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, ...
ADCM
2008
13 years 9 months ago
2008
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...