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» The Visualization Process: The Path from Data to Insight
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TVCG
2008
147views more  TVCG 2008»
13 years 7 months ago
Cerebral: Visualizing Multiple Experimental Conditions on a Graph with Biological Context
Systems biologists use interaction graphs to model the behavior of biological systems at the molecular level. In an iterative process, such biologists observe the reactions of livi...
Aaron Barsky, Tamara Munzner, Jennifer L. Gardy, R...
3DIM
2007
IEEE
13 years 11 months ago
Aerial Lidar Data Classification using AdaBoost
We use the AdaBoost algorithm to classify 3D aerial lidar scattered height data into four categories: road, grass, buildings, and trees. To do so we use five features: height, hei...
Suresh K. Lodha, Darren N. Fitzpatrick, David P. H...
VISUALIZATION
2002
IEEE
14 years 20 days ago
A Case Study on Multiresolution Visualization of Local Rainfall from Weather Radar Measurements
Weather radars can measure the backscatter from rain drops in the atmosphere. A complete radar scan provides three–dimensional precipitation information. For the understanding o...
Thomas Gerstner, Dirk Meetschen, Susanne Crewell, ...
IWINAC
2007
Springer
14 years 1 months ago
Optimal Cue Combination for Saliency Computation: A Comparison with Human Vision
The computer model of visual attention derives an interest or saliency map from an input image in a process that encompasses several data combination steps. While several combinati...
Alexandre Bur, Heinz Hügli
TVCG
2010
181views more  TVCG 2010»
13 years 6 months ago
Virtual Rheoscopic Fluids
— We present a visualization technique for simulated fluid dynamics data that visualizes the gradient of the velocity field in an intuitive way. Our work is inspired by rheosco...
Florian Hecht, Peter J. Mucha, Greg Turk