10 search results - page 1 / 2 » Proximity Graphs for Clustering and Manifold Learning |
NIPS
2004
13 years 5 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...
COLT
2005
Springer
13 years 10 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...
CVPR
2007
IEEE
14 years 6 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
2011
IEEE
12 years 8 months ago
2011
IEEE
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter ļ¬ber bundles. We cast thi...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...