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GD
2006
Springer
15 years 4 months ago
Upright-Quad Drawing of st -Planar Learning Spaces
We consider graph drawing algorithms for learning spaces, a type of st-oriented partial cube derived from an antimatroid and used to model states of knowledge of students. We show...
David Eppstein
102
Voted
VISSYM
2004
15 years 2 months ago
Interaction Spaces in Data and Information Visualization
User interaction plays an integral part in the effective visualization of data and information. Typical interaction operations include navigation, selection, and distortion. A pro...
Matthew O. Ward, Jing Yang
SIAMSC
2008
198views more  SIAMSC 2008»
15 years 27 days ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
TNN
2008
128views more  TNN 2008»
15 years 26 days ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
IV
2010
IEEE
125views Visualization» more  IV 2010»
14 years 11 months ago
INSPIRE: A New Method of Mapping Information Spaces
Information spaces such the WWW are the most challenging type of space that many people navigate during everyday life. Unlike the real world, there are no effective maps of inform...
Roy A. Ruddle