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» A random graph model for massive graphs
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KAIS
2011
129views more  KAIS 2011»
13 years 6 months ago
Counting triangles in real-world networks using projections
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
Charalampos E. Tsourakakis
ICIP
2008
IEEE
14 years 5 months ago
MAP-MRF approach for binarization of degraded document image
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
Jung Gap Kuk, Nam Ik Cho, Kyoung Mu Lee
IJWMC
2010
115views more  IJWMC 2010»
13 years 8 months ago
Small-world effects in wireless agent sensor networks
Coverage, fault tolerance and power consumption constraints make optimal placement of mobile sensors or other mobile agents a hard problem. We have developed a model for describin...
Kenneth A. Hawick, Heath A. James
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
14 years 4 months ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...
WEA
2007
Springer
74views Algorithms» more  WEA 2007»
14 years 5 months ago
Landmark-Based Routing in Dynamic Graphs
Many speed-up techniques for route planning in static graphs exist, only few of them are proven to work in a dynamic scenario. Most of them use preprocessed information, which has ...
Daniel Delling, Dorothea Wagner