358 search results - page 54 / 72 » Learning from labeled and unlabeled data on a directed graph |
CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
110
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ESWS
2010
Springer
15 years 1 months ago
2010
Springer
In the Linked Open Data cloud one of the largest data sets, comprising of 2.5 billion triples, is derived from the Life Science domain. Yet this represents a small fraction of the ...
120
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SIGIR
2008
ACM
14 years 11 months ago
2008
ACM
In many Web applications, such as blog classification and newsgroup classification, labeled data are in short supply. It often happens that obtaining labeled data in a new domain ...
126
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CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
In this paper, we deal with a generative model for multi-label, interactive segmentation. To estimate the pixel likelihoods for each label, we propose a new higher-order formulatio...
102
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KDD
2007
ACM
16 years 6 days ago
2007
ACM
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...