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128
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CGF
2008
184views more  CGF 2008»
15 years 4 months ago
A Four-level Focus+Context Approach to Interactive Visual Analysis of Temporal Features in Large Scientific Data
In this paper we present a new approach to the interactive visual analysis of time-dependent scientific data
Philipp Muigg, Johannes Kehrer, Steffen Oeltze, Ha...
146
Voted
GFKL
2004
Springer
137views Data Mining» more  GFKL 2004»
15 years 9 months ago
Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
Alfred Ultsch
155
Voted
AVI
2008
15 years 6 months ago
Realizing the hidden: interactive visualization and analysis of large volumes of structured data
An emerging trend in Web computing aims at collecting and integrating distributed data. For instance, community driven efforts recently have build ontological repositories made of...
Olaf Noppens, Thorsten Liebig
116
Voted
CG
2000
Springer
15 years 3 months ago
Procedural shape generation for multi-dimensional data visualization
Visualization of multi-dimensional data is a challenging task. The goal is not the display of multiple data dimensions, but user comprehension of the multi-dimensional data. This p...
David S. Ebert, Randall M. Rohrer, Christopher D. ...
TVCG
2011
170views more  TVCG 2011»
14 years 11 months ago
Feature-Preserving Volume Data Reduction and Focus+Context Visualization
— The growing sizes of volumetric data sets pose a great challenge for interactive visualization. In this paper, we present a feature-preserving data reduction and focus+context ...
Yu-Shuen Wang, Chaoli Wang, Tong-Yee Lee, Kwan-Liu...