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ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
14 years 4 months ago
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks
Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
Ruoming Jin, Scott McCallen, Eivind Almaas
HICSS
2005
IEEE
132views Biometrics» more  HICSS 2005»
14 years 3 months ago
NusEye: Visualizing Network Structure to Support Navigation of Aggregated Content
The application of social network analysis techniques, along with graph visualization and interaction, for navigating syndicated web content, a.k.a webfeeds, is presented. Within ...
Brian M. Dennis, Azzari Caillier Jarrett
VR
2003
IEEE
200views Virtual Reality» more  VR 2003»
14 years 3 months ago
The blue-c Distributed Scene Graph
In this paper we present a distributed scene graph architecture for use in the blue-c, a novel collaborative immersive virtual environment. We extend the widely used OpenGL Perfor...
Martin Näf, Edouard Lamboray, Oliver G. Staad...
AAIM
2009
Springer
101views Algorithms» more  AAIM 2009»
14 years 4 months ago
Orca Reduction and ContrAction Graph Clustering
During the last years, a wide range of huge networks has been made available to researchers. The discovery of natural groups, a task called graph clustering, in such datasets is a ...
Daniel Delling, Robert Görke, Christian Schul...
PAMI
2007
202views more  PAMI 2007»
13 years 9 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis