30 search results - page 4 / 6 » Locally linear metric adaptation for semi-supervised cluster... |
IMR
2004
Springer
13 years 11 months ago
2004
Springer
We describe some extensions to the grid smoothing scheme described in [1, 2] that deal with the following issues: 1) the clustering effect of changing valence in an unstructured ...
NIPS
2004
13 years 7 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
CAIP
2007
Springer
13 years 12 months ago
2007
Springer
We present a novel method to detect multimodal regions composed of linear structures and measure the orientations in these regions, i.e. at line X-sings, T-junctions and Y-forks. I...
CVPR
2007
IEEE
14 years 7 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...
SIAMNUM
2011
13 years 22 days ago
2011
In the context of mesh adaptation, Riemannian metric spaces have been used to prescribe orientation, density and stretching of anisotropic meshes. But, such structures are only con...