As research in context recognition moves towards more maturity and real life applications, appropriate and reliable performance metrics gain importance. This paper focuses on the ...
In this paper, we present a novel entropy estimator for a given set of samples drawn from an unknown probability density function (PDF). Counter to other entropy estimators, the e...
The simulation of large grids requires the generation of grid instances and an approximation of grid components’ behaviour. To generate grid instances, this paper outlines a set...
This paper presents a new method for branch prediction. The key idea is to use one of the simplest possible neural networks, the perceptron as an alternative to the commonly used ...
Abstract— One of the major challenges in both action generation for robotics and in the understanding of human motor control is to learn the “building blocks of movement genera...