Johann Hotzel shared how he created the MeshColliders tool, explaining its purpose, how it works, and the different ways it can be implemented. My name is Johann Hotzel, and I work professionally as a ...
In this talk, we introduce a sampling-based semi-Lagrangian adaptive rank (SLAR) method, which leverages a cross-approximation strategy - or pseudo-skeleton decomposition - to efficiently represent ...
Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. Once a well-suited model is established, it can be thoroughly ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demo of Poisson regression, where the goal is to predict a count of things arriving, such as the number of telephone calls ...
Use Poisson Sampling and Monte Carlo approximation to explore the difference of number of children in men by education level ...
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ABSTRACT: The purpose of this application paper is to apply the Stein-Chen (SC) method to provide a Poisson-based approximation and corresponding total variation distance bounds in a time series ...
Abstract: The Poisson multi-Bernoulli mixture (PMBM) is a multiobject conjugate prior for the closed-form Bayes random finite set filter. The extended object PMBM filter provides a closed-form ...
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