6113 search results - page 1063 / 1223 » Learning Features for Tracking |
SIGIR
2006
ACM
14 years 2 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
HT
2005
ACM
14 years 1 months ago
2005
ACM
In recent years, many algorithms for the Web have been developed that work with information units distinct from individual web pages. These include segments of web pages or aggreg...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
MM
2004
ACM
14 years 1 months ago
2004
ACM
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...