A team of researchers from UC Berkeley, Aalto University, ShanghaiTech University, SpectacularAI, Amazon, and Luma AI addressed these limitations by developing gsplat, an open-source Python library ...

In present paper, the properties of the Bayes Shrinkage estimator is studied for the measure of dispersion of an inverse Gaussian model under the Minimax estimation criteria.

Robust Gaussian Fitting Library A Library for Robust Gaussian Fitting using geometric models in presence of outliers. Basically, many machine learning methods are based on and limited to cost ...

In this paper, we introduce a new statistical distribution for modeling non-Rayleigh amplitude statistics, which we have called the Rician inverse Gaussian (RiIG) distribution. It is a mixture of the ...

Gaussian fitting plays important role in many applications, such as localization microscopy, image scanning microscopy, which require to localize large scale of Gaussian patterns localization for ...

Here, we shall first discuss on Gaussian Process Regression. Let’s follow the steps below to get some intuition. Generate 10 data points (these points will serve as training datapoints) with ...