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» General Partitioning on Random Graphs
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PKDD
2007
Springer
132views Data Mining» more  PKDD 2007»
15 years 6 months ago
An Algorithm to Find Overlapping Community Structure in Networks
Recent years have seen the development of many graph clustering algorithms, which can identify community structure in networks. The vast majority of these only find disjoint commun...
Steve Gregory
59
Voted
JCSS
1998
51views more  JCSS 1998»
15 years 3 days ago
Randomized Query Processing in Robot Path Planning
d Abstract) LYDIA E. KAVRAKI   JEAN-CLAUDE LATOMBE   RAJEEV MOTWANI ¡ PRABHAKAR RAGHAVAN ¢ The subject of this paper is the analysis of a randomized preprocessing scheme that ...
Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motw...
76
Voted
SAC
2006
ACM
15 years 6 months ago
Evaluating unstructured peer-to-peer lookup overlays
Unstructured peer-to-peer lookup systems incur small constant overhead per single join or leave operation, and can easily support keyword searches. Hence, they are suitable for dy...
Idit Keidar, Roie Melamed
106
Voted
CVPR
1998
IEEE
16 years 2 months ago
Markov Random Fields with Efficient Approximations
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
Yuri Boykov, Olga Veksler, Ramin Zabih
113
Voted
KDD
2005
ACM
157views Data Mining» more  KDD 2005»
16 years 26 days ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis