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174
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PKDD
2010
Springer
15 years 5 months ago
2010
Springer
Pattern mining methods for graph data have largely been restricted to ground features, such as frequent or correlated subgraphs. Kazius et al. have demonstrated the use of elaborat...
181
Voted
MICCAI
2004
Springer
16 years 7 months ago
2004
Springer
In this paper we present a framework for unsupervised segmentation of white matter fiber traces obtained from diffusion weighted MRI data. Fiber traces are compared pairwise to cre...
204
Voted
ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
166
Voted
STOC
2010
ACM
16 years 4 months ago
2010
ACM
We consider the problem of maintaining a large matching or a small vertex cover in a dynamically changing graph. Each update to the graph is either an edge deletion or an edge ins...
174
Voted
ICDM
2009
IEEE
16 years 1 months ago
2009
IEEE
—We describe an efficient algorithm for releasing a provably private estimate of the degree distribution of a network. The algorithm satisfies a rigorous property of differenti...