Local Prediction Models for Spatiotemporal Volume Visualization.
IEEE Transactions on Visualization and Computer Graphics(2021)
摘要
We present a machine learning-based approach for detecting and visualizing complex behavior in spatiotemporal volumes. For this, we train models to predict future data values at a given position based on the past values in its neighborhood, capturing common temporal behavior in the data. We then evaluate the model’s prediction on the same data. High prediction error means that the local behavior w...
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关键词
Data visualization,Predictive models,Spatiotemporal phenomena,Analytical models,Data models,Neural networks,Training
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