Localizing tiny sensor nodes in large wireless sensor networks is extremely complex, due to the node’s strict resource limitations regarding memory size, processor performance a...
Frank Reichenbach, Dominik Lieckfeldt, Dirk Timmer...
Abstract— We present a path planning algorithm for a polyhedral robot with six degrees of freedom (6DOF) and a static obstacle. The planner consists of a dual-tree RRT algorithm ...
— Inspired by Hebb’s cell assembly theory about how the brain worked, we have developed a function localization neural network (FLNN). The main part of a FLNN is structurally t...
In this paper we propose a novel classification algorithm that fits models of different complexity on separate regions of the input space. The goal is to achieve a balance betwee...
Ricardo Vilalta, Murali-Krishna Achari, Christoph ...
This work proposes the use of an adaptive neighborhood procedure to extract local statistical properties of images in order to improve a speckle noise "Maximum a Posteriori &q...