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» A data model for adaptive multi-resolution scientific data
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OTM
2007
Springer
14 years 1 months ago
Semantically Resolving Type Mismatches in Scientific Workflows
Scientists are increasingly utilizing Grids to manage large data sets and execute scientific experiments on distributed resources. Scientific workflows are used as means for modeli...
Kheiredine Derouiche, Denis A. Nicole
ICVS
1999
Springer
13 years 11 months ago
ADORE: Adaptive Object Recognition
Many modern computer vision systems are built by chaining together standard vision procedures, often in graphical programming environments such as Khoros, CVIPtools or IUE. Typical...
Bruce A. Draper, José Bins, Kyungim Baek
SYNTHESE
2008
84views more  SYNTHESE 2008»
13 years 7 months ago
Model structure adequacy analysis: selecting models on the basis of their ability to answer scientific questions
Models carry the meaning of science. This puts a tremendous burden on the process of model selection. In general practice, models are selected on the basis of their relative goodne...
Mark L. Taper, David F. Staples, Bradley B. Shepar...
IJHPCA
2010
117views more  IJHPCA 2010»
13 years 5 months ago
Grids and Clouds: Making Workflow Applications Work in Heterogeneous Distributed Environments
Scientific workflows are frequently being used to model complex phenomena, to analyze instrumental data, to tie together information from distributed sources, and to pursue other ...
Ewa Deelman
VIS
2007
IEEE
128views Visualization» more  VIS 2007»
14 years 8 months ago
Modeling Perceptual Dominance Among Visual Cues in Multilayered Icon-based Scientific Visualizations
ization method is an abstract function that transforms a scientific dataset into a visual representation to facilitate data exploration. In turn, a visualization display is the vis...
Daniel Acevedo, Jian Chen, David H. Laidlaw