32 search results - page 2 / 7 » Transductive Rademacher Complexities for Learning Over a Gra... |
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
Inspired by co-training, many multi-view semi-supervised kernel methods implement the following idea: find a function in each of multiple Reproducing Kernel Hilbert Spaces (RKHSs)...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that strongly-typed heterogeneous information net...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Abstract. Shape retrieval/matching is a very important topic in computer vision. The recent progress in this domain has been mostly driven by designing smart features for providing...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
The recent years have witnessed a surge of interest in graphbased semi-supervised learning methods. The common denominator of these methods is that the data are represented by the...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...