32 search results - page 2 / 7 » Transductive Rademacher Complexities for Learning Over a Gra... |
ICML
2008
IEEE
16 years 13 days 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)...
100
click to vote
PKDD
2010
Springer
14 years 9 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...
124
click to vote
ECCV
2008
Springer
16 years 1 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...
84
Voted
SDM
2007
SIAM
15 years 1 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...
107
Voted
ICML
2008
IEEE
16 years 13 days 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...