221 search results - page 6 / 45 » Learning from Labeled and Unlabeled Data Using Random Walks |
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
PR
2011
12 years 10 months ago
2011
In this paper we propose a novel approach to content-based image retrieval with relevance feedback, which is based on the random walker algorithm introduced in the context of inte...
PAMI
2006
13 years 7 months ago
2006
Abstract-- A novel method is proposed for performing multilabel, interactive image segmentation. Given a small number of pixels with user-defined (or pre-defined) labels, one can a...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...