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Data-Driven Methods for Weather Forecast
2021In this paper, we propose efficient and practical data-driven methods for weather forecasts. We exploit the information brought by historical weather datasets to build machine-learning-based models. These models are employed to produce numerical forecasts, which can be improved by injecting additional data via data assimilation. Our approaches’ general
Elias David Niño Ruiz +1 more
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A data driven method for feature transformation
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012Most image understanding algorithms begin with the extraction of information thought to be relevant to the particular task. This is commonly known as feature extraction and has, up to this date, been a largely manual process, where a reasonable method is chosen through validation on the experimented dataset. In this work we propose a data driven, local
Mert Dikmen +2 more
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On the Data-Driven Generalized Cell Mapping Method
International Journal of Bifurcation and Chaos, 2019Global analysis is often necessary for exploiting various applications or understanding the mechanisms of many dynamical phenomena in engineering practice where the underlying system model is too complex to analyze or even unavailable. Without a mathematical model, however, it is very difficult to apply cell mapping for global analysis. This paper for
Zigang Li +3 more
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