What if instead of defining a mesh as a series of vertices and edges in a 3D space, you could describe it as a single function? The easiest function would return the signed distance to the closest ...

The Data Science Lab Wasserstein Distance Using C# and Python Dr. James McCaffrey of Microsoft Research shows how to compute the Wasserstein distance and explains why it is often preferable to ...

For those who model CAD models regularly, a pair of calipers is essential as it allows reasonably accurate measurements to fit a specific part. However, [Jason Harris] is taking that concept to the ...

This is a preview. Log in through your library . Abstract This paper is concerned with optimal directions in the directional distance function in data envelopment analysis. It is shown that the vector ...

The Mahalanobis-Taguchi System (MTS) has evolved into a robust tool for multivariate data classification and optimisation, merging statistical distance measures with the design philosophy of robust ...