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 ...

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 ...

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 ...

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 ...