Modern robotic systems—in drones or autonomous vehicles, for example—use a variety of sensors, ranging from cameras and accelerometers to GPS modules. To date, their correct integration has ...

A cluster is a collection of data objects which are similar to one another within the same cluster and dissimilar to the objects in the other clusters.

Journal of Computational Mathematics, Vol. 21, No. 4 (JULY 2003), pp. 451-462 (12 pages) In this paper we present some algorithms for minimization of DC function (difference of two convex functions).

BARCELONA, Spain—A deep-learning algorithm designed to identify local cardiac structures and estimate cardiac function does a better job than sonographer estimates at consistently measuring left ...

Several one-pass and two-pass algorithms for the computation of sample means and variances are compared by their performance on sets of randomly generated data and systematically generated data with ...

Means-plus-function claiming is not very popular in many technical disciplines because of how narrowly limited the claims are to what is specifically disclosed. Over the years, however, mean-plus ...