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IJCV
2006
299views more  IJCV 2006»
15 years 2 months ago
Graph Cuts and Efficient N-D Image Segmentation
Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of gr...
Yuri Boykov, Gareth Funka-Lea
141
Voted
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
15 years 15 days ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
PAMI
2010
103views more  PAMI 2010»
15 years 28 days ago
The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph
—This work introduces a link-based covariance measure between the nodes of a weighted directed graph where a cost is associated to each arc. To this end, a probability distributi...
Amin Mantrach, Luh Yen, Jérôme Callut...
134
Voted
FM
2006
Springer
146views Formal Methods» more  FM 2006»
15 years 6 months ago
Formal Modeling of Communication Protocols by Graph Transformation
Formal modeling is a crucial first step in the analysis of safety critical communication protocols such as IP Telephony. These protocols are notoriously resistant to formal modelin...
Zarrin Langari, Richard J. Trefler
FLAIRS
2010
15 years 4 months ago
Using a Graph-Based Approach for Discovering Cybercrime
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder, Jeffrey Graves