Any straight line graph has a constant gradient, which is calculated by the change in 𝑦 divided by the change in 𝑥, along any section of the graph. The gradient is measuring the steepness of the ...

Abstract: Creating an image gradient is a transformation process that aims to enhance desirable properties of an image, whilst leaving aside noise and non-descriptive characteristics. Many algorithms ...

Abstract: Graph self-supervised learning aiming to learn the graph representation without much label information is an important tasks in data mining and machine learning since labeled graph data is ...

Generic deep learning (DL) networks for image restoration like denoising and interpolation lack mathematical interpretability, require voluminous training data to tune large parameter sets, and are ...

When trying to use a "color_gradient" to style the area under a graph, the area seems to "leak" from where it should be, generating very weird look from manimlib ...