527 search results - page 56 / 106 » Supervised Hypergraph Labeling |
JMLR
2006
13 years 7 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
PAMI
2006
13 years 7 months ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
ML
2010
ACM
13 years 6 months ago
2010
ACM
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
ACL
2010
13 years 5 months ago
2010
Conditional Random Fields (CRFs) are a widely-used approach for supervised sequence labelling, notably due to their ability to handle large description spaces and to integrate str...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...