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» A Fast Multi-scale Method for Drawing Large Graphs
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119
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APVIS
2003
15 years 4 months ago
A Scalable Method for Visualising Changes in Portfolio Data
In this paper techniques from multidimensional scaling and graph drawing are coupled to provide an overview-and-detail style method for visualising a high dimensional dataset whos...
Tim Dwyer
160
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CAD
2006
Springer
15 years 2 months ago
On visual similarity based 2D drawing retrieval
A large amount of 2D drawings have been produced in engineering fields. To reuse and share the available drawings efficiently, we propose two methods in this paper, namely 2.5D sp...
Jiantao Pu, Karthik Ramani
137
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GD
2009
Springer
15 years 12 days ago
On Open Problems in Biological Network Visualization
Much of the data generated and analyzed in the life sciences can be interpreted and represented by networks or graphs. Network analysis and visualization methods help in investigat...
Mario Albrecht, Andreas Kerren, Karsten Klein, Oli...
122
Voted
CEAS
2007
Springer
15 years 6 months ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley
118
Voted
COMAD
2009
15 years 3 months ago
Epsilon Equitable Partition: A positional analysis method for large social networks
Positional analysis is considered an important tool in the analysis of social networks. It involves partitioning of the set of actors into subsets such that actors in a subset are...
Kiran Kate, Balaraman Ravindran