Three-dimensional object recognition from single two-dimensional images
Artificial Intelligence
Extended Boolean information retrieval
Communications of the ACM
Extending the Utility of Treemaps with Flexible Hierarchy
IV '04 Proceedings of the Information Visualisation, Eighth International Conference
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
CUTS: CUrvature-based development pattern analysis and segmentation for blogs and other Text Streams
Proceedings of the seventeenth conference on Hypertext and hypermedia
CP/CV: concept similarity mining without frequency information from domain describing taxonomies
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Interactive visualization for OLAP
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part III
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We present the pattern development view (pDView) system for multidimensional scientific data visualization. The pDView system relies on a novel pattern development tree (pDTree) structure to unravel patterns in multidimensional data without having to rely on visualizations that require either significant degrees of projections that eliminate certain dimensions at the expense of the others or introduce significant visual overhead due to overly-rich multi-dimensional graphic interfaces. Instead, pDView maps data along all its relevant dimensions onto a pDTree structure, capturing and visualizing the underlying fundamental relationships. The user is able to vary contextual parameters to observe the strength and robustness of these relationships under different situations.