24 search results - page 3 / 5 » Spectral methods for semi-supervised manifold learning |
JMLR
2010
13 years 3 months ago
2010
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
CVPR
2008
IEEE
14 years 7 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...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...
ISBI
2011
IEEE
12 years 9 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 fiber bundles. We cast thi...