Visualizing Visualizations: User Interfaces for Managing and Exploring Scientific Visualization Data
IEEE Computer Graphics and Applications
The Transfer Function Bake-Off
IEEE Computer Graphics and Applications
Machine Learning for Computer Graphics: A Manifesto and Tutorial
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
An Intelligent System Approach to Higher-Dimensional Classification of Volume Data
IEEE Transactions on Visualization and Computer Graphics
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
A Visualization Methodology for Characterization of Network Scans
VIZSEC '05 Proceedings of the IEEE Workshops on Visualization for Computer Security
A cluster-space visual interface for arbitrary dimensional classification of volume data
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
Interactive visualization with user perspective: a new concept
Proceedings of the 3rd International Symposium on Visual Information Communication
Technical Section: Example-based interactive illustration of multi-field datasets
Computers and Graphics
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Many visualization systems do not get widespread adoption because they confront the user with sophisticated operations and interfaces. The author suggests augmenting visualization systems with learning capability to improve both the performance and usability of visualization systems. Several examples including volume segmentation, flow feature extraction, and network security are given illustrating how machine learning can help streamline the process of visualization, simplify the user interface and interaction, and support collaborative work.