Search results for "Ruth"
showing 10 items of 661 documents
Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and K-Means Clustering
2011
In this paper an automatic unsupervised method for the segmentation of retinal vessels is proposed. A Self-Organizing Map is trained on a portion of the same image that is tested and K-means clustering algorithm is used to divide the map units in 2 classes. The entire image is again input for the Self-Organizing Map, and the class of each pixel will be the class of the best matching unit on the Self-Organizing Map. Finally, the vessel network is post-processed using a hill climbing strategy on the connected components of the segmented image. The experimental evaluation on the publicly available DRIVE database shows accurate extraction of vessels network and a good agreement between our segm…
Semi-automatic registration of retinal images based on line matching approach
2013
Accurate retinal image registration is essential to track the evolution of eye-related diseases. We propose a semiautomatic method based on features relying upon retinal graphs for temporal registration of retinal images. The features represent straight lines connecting vascular landmarks on the retina vascular tree: bifurcations, branchings, crossings, end points. In the built retinal graph, one straight line between two vascular landmarks indicates that they are connected by a vascular segment in the original retinal image. The locations of the landmarks are manually extracted to avoid the information loss due to errors in a retinal vessels segmentation algorithms. A straight line model i…
A Novel Recruitment Policy to Defend against Sybils in Vehicular Crowdsourcing
2021
Vehicular Social Networks (VSNs) is an emerging communication paradigm, derived by merging the concepts of Online Social Networks (OSNs) and Vehicular Ad-hoc Networks (VANETs). Due to the lack of robust authentication mechanisms, social-based vehicular applications are vulnerable to numerous attacks including the generation of sybil entities in the networks. We address this important issue in vehicular crowdsourcing campaigns where sybils are usually employed to increase their influence and worsen the functioning of the system. In particular, we propose a novel User Recruitment Policy (URP) that, after extracting the participants within the event radius of a crowdsourcing campaign, detects …
Palmprint principal lines extraction
2014
The palmprint recognition has become a focus in biological recognition and image processing fields. In this process, the features extraction (with particular attention to palmprint principal line extraction) is especially important. Although a lot of work has been reported, the representation of palmprint is still an open issue. In this paper we propose a simple, efficient, and accurate palmprint principal lines extraction method. Our approach consists of six simple steps: normalization, median filtering, average filters along four prefixed directions, grayscale bottom-hat filtering, combination of bottom-hat filtering, binarization and post processing. The contribution of our work is a new…
Why you trust in visual saliency
2015
Image understanding is a simple task for a human observer. Visual attention is automatically pointed to interesting regions by a natural objective stimulus in a first step and by prior knowledge in a second step. Saliency maps try to simulate human response and use actual eye-movements measurements as ground truth. An interesting question is: how much corruption in a digital image can affect saliency detection respect to the original image? One of the contributions of this work is to compare the performances of standard approaches with respect to different type of image corruptions and different threshold values on saliency maps. If the corruption can be estimated and/or the threshold is fi…
Exploiting Correlation between Body Gestures and Spoken Sentences for Real-time Emotion Recognition
2017
Humans communicate their affective states through different media, both verbal and non-verbal, often used at the same time. The knowledge of the emotional state plays a key role to provide personalized and context-related information and services. This is the main reason why several algorithms have been proposed in the last few years for the automatic emotion recognition. In this work we exploit the correlation between one's affective state and the simultaneous body expressions in terms of speech and gestures. Here we propose a system for real-time emotion recognition from gestures. In a first step, the system builds a trusted dataset of association pairs (motion data -> emotion pattern), a…
Fake news e post verità nella società dell'algoritmo
2021
The essay has as its object fake news and excess of pieces of information with particular attention to the pandemic emergency we are currently living: Covid‐19. After a careful consideration about what fake news actually are, the paper analyzes the pitfalls concerning the communication through virtual technologies, where social networks let the news reach the user only if they pass some requirements, in order to give the user a personalized experience of being informed. As a result, the profiling process traps the user in a cage, which is a paradox, because the internet it’s literally supposed to be without borders and barriers. The current crisis caused by the global pandemic has brought t…
BREVI NOTE SULL'ONERE DELLA PROVA NEL PROCESSO TRIBUTARIO
2019
La regola dell’onere della prova costituisce un pilastro fondamentale in ogni disciplina processuale. Essa si sviluppa in una molteplicita' di principi attraverso i quali il processo persegue la sua funzione, la ricerca della verita'. Nel processo tributario l’applicazione della regola dell’onere della prova non sempre appare ispirata al principio del giusto processo ed al contribuente a volte è richiesto di offrire una prova che va oltre le sue possibilita'.
Il canto delle sirene. Processo penale e modernità scientifico-tecnologica: prova dichiarativa e diagnostica della verità
2009
Il contributo analizza i mezzi di governo e controllo dell'attendibilità dei contributi dichiarativi, muovendo dalla norma di garanzia prevista dagli artt. 64 comma 2 e 188 c.p.p.: le più recenti tecniche diagnostiche di deception processing e di truth telling processing, offerte - grazie agli sviluppi delle neuroscienze - dalla risonanza magnetica funzionale per immagini e da dispositivi ancor più avanzati pongono, sin d'ora, interrogativi di grande portata, dischiudendo scenari ormai ineludibili per la ricerca processualistica.
Spiegare o mentire? Due vie della comunicazione politica in Tucidide
2021
Chosen as word of the year in 2016 by the Oxford Dictionaries, post-truth is a very recent neologism, spread on the wave of recent political events (particularly Brexit and Trump's election in 2016). What I would like to emphasise here is that post-truth, along with fake-news, refers to issues that are by no means new nor exclusively linked to modernity. I am referring in particular to the debate in ancient Greece on the relationship between truth and lies in political action and the relationship between 'fact' and the discourse that represents it (i.e. between ergon and logos).