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LDAV 2012: Seattle, Washington, USA
- Roger S. Barga, Hanspeter Pfister, David H. Rogers:
IEEE Symposium on Large Data Analysis and Visualization, LDAV 2012, Seattle, Washington, USA, 14-15 October, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-4732-7
Session: Interacting with Large Data
- Timothy Luciani, Brian A. Cherinka, Sean Myers, Boyu Sun, W. Michael Wood-Vassey, Alexandros Labrinidis, G. Elisabeta Marai:
Panning and zooming the observable universe with prefix-matching indices and pixel-based overlays. 1-8 - Wathsala Widanagamaachchi, Cameron Christensen, Peer-Timo Bremer, Valerio Pascucci:
Interactive exploration of large-scale time-varying data using dynamic tracking graphs. 9-17 - Steven Martin, Han-Wei Shen:
Interactive transfer function design on large multiresolution volumes. 19-22 - Atanas Atanasov, Madhusudhanan Srinivasan, Tobias Weinzierl
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Query-driven parallel exploration of large datasets. 23-30
Session: Features in Large Data
- Gunther H. Weber
Efficient parallel extraction of crack-free isosurfaces from adaptive mesh refinement (AMR) data. 31-38 - David Camp, Christoph Garth
Parallel stream surface computation for large data sets. 39-47 - Xin Tong, Teng-Yok Lee
Salient time steps selection from large scale time-varying data sets with dynamic time warping. 49-56 - William C. McLendon, Gaurav Bansal, Peer-Timo Bremer, Jacqueline Chen, Hemanth Kolla
On the use of graph search techniques for the analysis of extreme-scale combustion simulation data. 57-63
Session: Visualization of Large Data
- Zeqian Shen, Jishang Wei, Neel Sundaresan, Kwan-Liu Ma:
Visual analysis of massive web session data. 65-72 - Shusen Liu, Joshua A. Levine, Peer-Timo Bremer, Valerio Pascucci:
Gaussian mixture model based volume visualization. 73-77 - Paul A. Navrátil
Virtual rheoscopic fluids for dense, large-scale fluid flow visualizations. 79-84 - Aritra Dasgupta
Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data. 85-89 - Kenneth Moreland:
Redirecting research in large-format displays for visualization. 91-95
Session: Foundational Techniques for Large Data
- Sedat Ozer, Jishang Wei, Deborah Silver, Kwan-Liu Ma, Pino Martin:
Group dynamics in scientific visualization. 97-104 - Nathan Fabian:
In situ fragment detection at scale. 105-108 - Chun-Ming Chen, Boonthanome Nouanesengsy, Teng-Yok Lee
Flow-guided file layout for out-of-core pathline computation. 109-112 - Abon Chaudhuri, Teng-Yok Lee
Scalable computation of distributions from large scale data sets. 113-120 - Brian N. Wylie, Warren L. Davis IV, Danny Dunlavy
Using NoSQL databases for streaming network analysis. 121-124
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