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» Supervised Link Prediction Using Multiple Sources
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NOMS
2010
IEEE
195views Communications» more  NOMS 2010»
14 years 10 months ago
Using linked data for systems management
—Integration of data from multiple sources makes it possible to build effective systems management solutions. Despite the expected benefits, data integration remains a challenge....
Metin Feridun, Axel Tanner
ICCV
2003
IEEE
16 years 1 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer
ASUNAM
2011
IEEE
13 years 11 months ago
Co-author Relationship Prediction in Heterogeneous Bibliographic Networks
—The problem of predicting links or interactions between objects in a network, is an important task in network analysis. Along this line, link prediction between co-authors in a ...
Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Ag...
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 3 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
15 years 7 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann