38 search results - page 1 / 8 » Boosting on Manifolds: Adaptive Regularization of Base Class... |
NIPS
2004
13 years 6 months ago
2004
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
ICMLA
2008
13 years 6 months ago
2008
We are interested in learning an adaptive local metric on a lower dimensional manifold for query
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
PR
2007
13 years 4 months ago
2007
In this paper we address the problem of classifying vector sets. We motivate and introduce a novel method based on comparisons between corresponding vector subspaces. In particula...
PAMI
2011
12 years 11 months ago
2011
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...