292 search results - page 50 / 59 » Predicting labels for dyadic data |
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Manually labeled landmark sets are often required as in-
puts for landmark-based image registration. Identifying an
optimal subset of landmarks from a training dataset may be
us...
CIKM
2011
Springer
12 years 9 months ago
2011
Springer
This paper explores correspondence and mixture topic modeling of documents tagged from two different perspectives. There has been ongoing work in topic modeling of documents with...
KDD
2005
ACM
14 years 3 months ago
2005
ACM
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...