Titlebook: Natural and Artificial Computation in Engineering and Medical Applications; 5th International Wo José Manuel Ferrández Vicente,José Ramón á

MELON

配偶

Alignment in Vision-Oriented Syntactic Language Games for Teams of Robots Using Stochastic Regular ing algorithms. The main contribution of the paper is the application of stochastic regular grammars, with learning capability, to generate the robots’ language. First, the paper describes the syntactic language games, in particular the type of grammar and syntactic rules of the robots’ language and

Nibble

A Preliminary Auditory Subsystem Based on a Growing Functional Modules Controller,aradigm, the auditory subsystem is the result of the interconnection of four kinds of components: Global Goals, Acting Modules, Sensations and Sensing Modules. The resulting controller is radically different from conventional speech recognition due to its ability to gradually learn in context a set

罐里有戒指

Robust Multi-sensor System for Mobile Robot Localization,not provide data at all times. Particularly, we have used the following sensors: a 2D laser range finder, a Wi-Fi positioning system (designed by us), and a magnetic compass. Real world experiments have shown that our algorithm is accurate, robust, and fast, and that it can take advantage of the str

Perigee

Tremor

Route Learning and Reproduction in a Tour-Guide Robot,proach to these tasks, which reduces the intervention of an expert to a minimum. First, the robot is able to learn routes while following a human acting as a route instructor. Then, anyone can easily ask the robot to reproduce a route using various hand gestures. In order to achieve an accurate rout

epicardium

,Meta-ensembles of Classifiers for Alzheimer’s Disease Detection Using Independent ROI Features,g (MRI) are one of the most sought results in the neuroscience community. In this paper we evaluate several ensembles of classifiers trained and tested in a two level ensemble scheme as follows: the 116 regions of interest (ROI) of the Anatomical Automatic Labeling (AAL) brain atlas are used to comp

GUILT

arousal

Cocaine Dependent Classification on MRI Data Extracting Features from Voxel Based Morphometry,sonance imaging (MRI). After image preprocessing, we compute voxel based morphometry (VBM) applying Gaussian smoothing with three different full width at half maximum (FWHM) kernel sizes. VBM clusters guide the feature extraction process used to classify subjects as cocaine dependent patients or hea

Calculus