881 search results - page 1 / 177 » Spectral Algorithms for Supervised Learning |
NECO
2008
13 years 4 months ago
2008
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
ICMCS
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
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...
NIPS
2007
13 years 6 months ago
2007
Learning the common structure shared by a set of supervised tasks is an important practical and theoretical problem. Knowledge of this structure may lead to better generalization ...