This paper defines a type of constrained artificial neural network (ANN) that enables analytical certification arguments whilst retaining valuable performance characteristics. ...
The Fisher kernel is a generic framework which combines the benefits of generative and discriminative approaches to pattern classification. In this contribution, we propose to a...
This paper presents a novel interprocedural, ow-sensitive, and context-sensitive pointer analysis algorithm for multithreaded programs that may concurrently update shared pointers...
Abstract— In [1], we have recently proposed a general approach for approximating the power sum of Log–Normal Random Variables (RVs) by using the Pearson system of distributions...
Marco Di Renzo, Fabio Graziosi, Fortunato Santucci
This paper presents uncertainty propagation in landmark based position estimation methods. Analysis of two methods has been carried out where robot position is estimated by detect...
Abdul Bais, Robert Sablatnig, Yahya M. Khawaja, Gr...