In this paper we present some algorithms for minimization of DC function (difference of two convex functions). They are descent methods of the proximal-type which use the convex properties of the two ...

This paper describes an algorithm for maximising a conditional likelihood function when the corresponding unconditional likelihood function is more easily maximised. The algorithm is similar to the EM ...

The patent abstract reveals a method, device, and medium for mosaicking misalignment repair based on a high-precision image registration algorithm. This technology falls within the field of satellite ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published ...

By meeting the strict standards set forth in the mean-plus-function algorithm cases you will file more detailed applications that have better disclosure and which will undoubtedly support more ...

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 ...