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GD
1998
Springer
13 years 11 months ago
Refinement of Orthogonal Graph Drawings
Current orthogonal graph drawing algorithms produce drawings which are generally good. However, many times the quality of orthogonal drawings can be significantly improved with a ...
Janet M. Six, Konstantinos G. Kakoulis, Ioannis G....
GD
1995
Springer
13 years 11 months ago
Graph Folding: Extending Detail and Context Viewing into a Tool for Subgraph Comparisons
It is a di cult problem to display large, complex graphs in a manner which furthers comprehension. A useful approach is to expand selected sections foci of the graph revealing de...
M. Sheelagh T. Carpendale, David J. Cowperthwaite,...
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
12 years 10 months ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
JGAA
2000
85views more  JGAA 2000»
13 years 7 months ago
Techniques for the Refinement of Orthogonal Graph Drawings
Current orthogonal graph drawing algorithms produce drawings which are generally good. However, many times the quality of orthogonal drawings can be significantly improved with a ...
Janet M. Six, Konstantinos G. Kakoulis, Ioannis G....
COMSIS
2010
13 years 4 months ago
Multi-video summarization using complex graph clustering and mining
Multi-video summarization is a great theoretical and technical challenge due to the wider diversity of topics in multi-video than singlevideo as well as the multi-modality nature o...
Jian Shao, Dongming Jiang, Mengru Wang, Hong Chen,...