292 search results - page 51 / 59 » Predicting labels for dyadic data |
ICCV
2007
IEEE
14 years 4 months ago
2007
IEEE
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
CIKM
2007
Springer
14 years 4 months ago
2007
Springer
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...
ML
2010
ACM
13 years 4 months ago
2010
ACM
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...