Abstract: We present a study of linear interpolation when applied to uncertain data. Linear interpolation is a key step for isosurface extraction algorithms, and the uncertainties in the data lead to ...

Abstract: Linear interpolation is frequently used in digital signal processing applications to reconstruct signals, e.g., image, and audio processing, for which the multiplier and divider are two ...

CoCoNuT is a light-weight Python package for efficient partitioned multi-physics simulations, with a focus on fluid-structure interaction. Thanks to its fully modular approach, the package is ...

Image processing and computer vision play crucial roles in data science, allowing for the extraction of information from images. Basic image transformation techniques include translation, parametric ...

Hello! This Web page is aimed at shedding some light on the perennial R-vs.-Python debates in the Data Science community. This is largely (though not exclusively) a debate between the Statistics (R) ...

We present an open-source Python package to compute information-theoretical quantities for electroencephalographic data. Electroencephalography (EEG) measures the electrical potential generated by the ...