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» A Graph Based Data Model for Graphics Interpretation
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CHI
2010
ACM
14 years 1 months ago
Individual models of color differentiation to improve interpretability of information visualization
Color is commonly used to represent categories and values in many computer applications, but differentiating these colors can be difficult in many situations (e.g., for users with...
David R. Flatla, Carl Gutwin
CVPR
2008
IEEE
14 years 8 months ago
The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling
Graphical models are fundamental tools for modeling images and other applications. In this paper, we propose the Logistic Random Field (LRF) model for representing a discrete-valu...
Marshall F. Tappen, Kegan G. G. Samuel, Craig V. D...
CGF
2008
165views more  CGF 2008»
13 years 6 months ago
Visual Inspection of Multivariate Graphs
Most graph visualization techniques focus on the structure of graphs and do not offer support for dealing with node attributes and edge labels. To enable users to detect relations...
A. Johannes Pretorius, Jarke J. van Wijk
EDM
2008
113views Data Mining» more  EDM 2008»
13 years 8 months ago
Mining and Visualizing Visited Trails in Web-Based Educational Systems
A data mining and visualization tool for the discovery of student trails in web-based educational systems is presented and described. The tool uses graphs to visualize results, all...
Cristóbal Romero, Sergio Gutiérrez S...
AIMSA
2008
Springer
14 years 1 months ago
Tailoring the Interpretation of Spatial Utterances for Playing a Board Game
In order to build an intelligent system that allows human beings to cooperate with a computing machine to perform a given task it is important to account for the individual charact...
Andrea Corradini