223 search results - page 1 / 45 » Spectral Learning |
JMLR
2010
12 years 11 months ago
2010
In this paper, we study the problem of learning a matrix W from a set of linear measurements. Our formulation consists in solving an optimization problem which involves regulariza...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
ESANN
2008
13 years 6 months ago
2008
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
ECCV
2010
Springer
13 years 7 months ago
2010
Springer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...