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» Effectively Visualizing Large Networks Through Sampling
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VISUALIZATION
2002
IEEE
14 years 1 months ago
QuadTIN: Quadtree based Triangulated Irregular Networks
Interactive visualization of large digital elevation models is of continuing interest in scientific visualization, GIS, and virtual reality applications. Taking advantage of the r...
Renato Pajarola, Marc Antonijuan, Roberto Lario
INFOVIS
1998
IEEE
14 years 1 months ago
Dynamic Aggregation with Circular Visual Designs
One very effective method for managing large data sets is aggregation or binning. In this paper we consider two aggregation methods that are tightly coupled with interactive manip...
Mei C. Chuah
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 9 months ago
Efficient and exact sampling of simple graphs with given arbitrary degree sequence
Uniform sampling from graphical realizations of a given degree sequence is a fundamental component in simulation-based measurements of network observables, with applications rangi...
Charo I. Del Genio, Hyunju Kim, Zoltán Toro...
CORR
2011
Springer
188views Education» more  CORR 2011»
13 years 4 months ago
Towards Unbiased BFS Sampling
Abstract—Breadth First Search (BFS) is a widely used approach for sampling large unknown Internet topologies. Its main advantage over random walks and other exploration technique...
Maciej Kurant, Athina Markopoulou, Patrick Thiran
ISNN
2009
Springer
14 years 3 months ago
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
Weiya Shi, Yue-Fei Guo