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CVPR
2009
IEEE
15 years 5 months ago
Robust Multi-Class Transductive Learning with Graphs
Graph-based methods form a main category of semisupervised learning, offering flexibility and easy implementation in many applications. However, the performance of these methods...
Wei Liu (Columbia University), Shih-fu Chang (Colu...
ECCV
1998
Springer
14 years 11 months ago
Matching Hierarchical Structures Using Association Graphs
?It is well-known that the problem of matching two relational structures can be posed as an equivalent problem of finding a maximal clique in a (derived) ?association graph.? Howev...
Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker
SIGMOD
2010
ACM
239views Database» more  SIGMOD 2010»
14 years 2 months ago
Computing label-constraint reachability in graph databases
Our world today is generating huge amounts of graph data such as social networks, biological networks, and the semantic web. Many of these real-world graphs are edge-labeled graph...
Ruoming Jin, Hui Hong, Haixun Wang, Ning Ruan, Yan...
ICCV
2007
IEEE
14 years 12 months ago
Multi-Object Tracking Through Clutter Using Graph Cuts
The standard graph cut technique is a robust method for globally optimal image segmentations. However, because of its global nature, it is prone to capture outlying areas similar ...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi
DAC
2005
ACM
14 years 11 months ago
Minimising buffer requirements of synchronous dataflow graphs with model checking
Signal processing and multimedia applications are often implemented on resource constrained embedded systems. It is therefore important to find implementations that use as little ...
Marc Geilen, Twan Basten, Sander Stuijk