Search results for "informatica"
showing 10 items of 1003 documents
Multiresolution approach for image processing
1996
Multiresolution approaches provide a powerful tool for image process- ing. In this report,we propose an overview of different types of multiresolu- tion. We show this methodology is composed of two main complementary steps, the bottom-up and the top-down strategies. We also present some important existing applications like filtering and features extraction. Fi- nally, a brief comparison of the different techniques is given and some new interesting possible use of this tool are exhibited.
Appunti per una storia dell'Istituto
2010
An implementation of Generic Learned Static Sorted Sets Dictionaries
2022
This repository contains two C++ implementation of a Generic Learned Static Sorted Sets Dictionaries
Logic and Computational Aspects of Computing with Speculations
2020
A novel, alternative approach to the fundamental logic of common- sense reasoning extending the concepts put forward by Lotfi A. Zadeh’s Computing with Words has been recently advanced by Enric Trillas, based on the idea that in order to allow for creativity in automated reasoning, the standard operations of inducing and abducing must be complemented by guessing, or speculating. In this paper, after a recall of Trillas’ skeleton formal model, a reflection is made on the computational aspects of such approach. As computational complexity of such approach generally increases exponentially, hints are given on how to tackle such growth and render more manageable the mechanisation of commonsense…
An analysis System based on Morphological Fuzzy Filters: Application to the study of Marine Pollution Due to Hydrocarbons
2010
An Active Learning Approach for Classifying Explosion Quakes
2022
In this work, an Active Learning approach for improving the classification of passed seismo-volcanic events is proposed. Here we study the specific case of Explosion Quakes from Stromboli Volcano versus other seismo-volcanic events, recorded as seismograms, and the use of Random Forest as a Classification method. In conformity with the active learning paradigm, the approach recalls the human intervention for the annotation of uncertain data. The uncertainty is established by the event probabilities, predicted by a trained random forest classifier. The human intervention consists of editing and relabelling the data into these main three classes: Explosion Quakes, Non-Explosion Quakes or Non-…
M-VIF: A machine-vision based on information fusion
2002
The authors describe a new architecture for machine vision, which is based on information fusion approach. Its general design has been developed by using a formal computation model that integrates three main ingredients of the visual computation: the data, the models, and the algorithms. The hardware design and the software environment of M-VIF are also given. The simulation of M-VIF is under development on the HERMIA-machine.
Internet and Mathematic Education (E-Learning objects and tools for Mathematics Education)
2011
This paper analyzes some e-learning objects and didactics tools for improving mathematics education. The learning objects and tools analyzed are Videos, Applet Java, Geogebra, Wolfram|Alpha with his Widgets, Google Spreadsheets and Wiris. The analysis has been based on the parameters considered more suitable for didactics of mathematics. Such parameters are: interactivity, shareability, availability, applicability and feasibility. The paper presents a brief description of how the didactics is changing with internet, in particularly the didactics of the mathematics. It then shows the objects and tools selected with some application examples. Finally, it illustrates an comparison of the objec…
La Stima Temporale come Misura della Complessità Percettiva di Combinazioni di Stimoli Visivi-Uditivi
2007
La letteratura sulla percezione del tempo è concorde nell’evidenziare che gli esseri umani sono poco accurati nei giudizi temporali, nel senso che solitamente tendono sovrastimare o a sottostimare le durate. I numerosi studi condotti al riguardo divergono, tuttavia, nei meccanismi cognitivi chiamati in causa per spiegare i suddetti biases temporali. In particolare, i modelli basati sulla memoria prevedono che compiti complessi, a causa del maggiore spazio mnestico richiesto, inducano gli individui a sovrastimarne la durata. Diversamente,i modelli basati sull’attenzione evidenziano come l’elevato carico cognitivo sotteso a compiti complessi si traduca nella tendenza a sottostimarne la durata…