Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Direct volume rendering with shading via three-dimensional textures
Proceedings of the 1996 symposium on Volume visualization
VIS '97 Proceedings of the 8th conference on Visualization '97
Machine Learning - Special issue on learning with probabilistic representations
Tracking scalar features in unstructured datasets
Proceedings of the conference on Visualization '98
Parallel visualization of large-scale aerodynamics calculations: a case study on the Cray T3E
PVGS '99 Proceedings of the 1999 IEEE symposium on Parallel visualization and graphics
Neural networks and intellect: using model-based concepts
Neural networks and intellect: using model-based concepts
High performance visualization of time-varying volume data over a wide-area network status
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
The transfer function bake-off (panel session)
Proceedings of the conference on Visualization '00
Tracking and Visualizing Turbulent 3D Features
IEEE Transactions on Visualization and Computer Graphics
Large-Scale Data Visualization Using Parallel Data Streaming
IEEE Computer Graphics and Applications
Scalable Rendering on PC Clusters
IEEE Computer Graphics and Applications
IEEE Intelligent Systems
Maximum Entropy Markov Models for Information Extraction and Segmentation
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Iconic Techniques for Feature Visualization
VIS '95 Proceedings of the 6th conference on Visualization '95
A Parallel Visualization Pipeline for Terascale Earthquake Simulations
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Visualizing Very Large-Scale Earthquake Simulations
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
An Intelligent System Approach to Higher-Dimensional Classification of Volume Data
IEEE Transactions on Visualization and Computer Graphics
The Feature Tree: Visualizing Feature Tracking in Distributed AMR Datasets
PVG '03 Proceedings of the 2003 IEEE Symposium on Parallel and Large-Data Visualization and Graphics
Volume Tracking Using Higher Dimensional Isosurfacing
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
A study of transfer function generation for time-varying volume data
VG'01 Proceedings of the 2001 Eurographics conference on Volume Graphics
Texture-based feature tracking for effective time-varying data visualization
IEEE Transactions on Visualization and Computer Graphics
Topological Landscapes: A Terrain Metaphor for Scientific Data
IEEE Transactions on Visualization and Computer Graphics
CFD visualisation: challenges of complex 3D and 4D data fields
International Journal of Computational Fluid Dynamics - CFD 2006 Held at Queens University at Kingston, Ontario, Canada, 1519 July 2006
Terascale data organization for discovering multivariate climatic trends
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
General adaptive transfer functions design for volume rendering by using neural networks
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
A tri-space visualization interface for analyzing time-varying multivariate volume data
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
Simultaneous classification of time-varying volume data based on the time histogram
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
An exploratory technique for coherent visualization of time-varying volume data
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Semi-automatic time-series transfer functions via temporal clustering and sequencing
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
Visual recommendations for network navigation
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Interactive extraction and tracking of biomolecular surface features
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
| Hi-index | 0.01 |
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data reduction method offers a viable solution to this large data problem. This paper presents a new approach to the problem of extracting and visualizing 4D features within large volume data. Conventional methods requires either an analytical description of the feature of interest or tedious manual intervention throughout the feature extraction and tracking process. We show that it is possible for a visualization system to "learn" to extract and track features in complex 4D flow field according to their "visual" properties, location, shape, and size. The basic approach is to employ machine learning in the process of visualization. Such an intelligent system approach is powerful because it allows us to extract and track an feature of interest in a high-dimensional space without explicitly specifying the relations between those dimensions, resulting in a greatly simplified and intuitive visualization interface.