Search results for "HBO"

Ambiti identitari di quartiere per la città del futuro

2013

How should we conceive a future city that is capable of avoiding the mistakes of the present? In order to redraw our urban spaces we have been looking for neighbourhood identity areas in Palermo, so that they can link the past to the future, development to conservation. The neighbourhood becomes the common ground between the private sphere (the house) and the public sphere (the city), and allows the citizens to embrace the active sphere of politics. This paper aims at identifying a way to overcome the administrative scheme which has so far been used: neighbourhoods urge citizens from the 21th century to rediscover society, conceived as the connecting ground between each other.

Vivibilità e creatività delle periferie

2020

Consumare meno suolo significa riscoprire la vita in città, riqualificando ambiti degradati, consolidando le piccole centralità mediante spazi pubblici e funzioni aggreganti, sostenendo e incentivando la “ricucitura” di architetture dismesse e parti di città poco vivibili. La “memoria” identitaria e la dimensione ecologico-paesaggistica in chiave creativa delle città possono, e devono, divenire un volano per innescare vivibilità soprattutto nei contesti urbani difficili. Partendo dal concetto di milieu, un approccio creativo bottom up può costituire la base operativa per una vision che, ancor prima di avere una dimensione urbana, ne abbia una “umana”. Nell’obiettivo ultimo di affrontare tem…

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…

Community Development and Social Participation

2011

The paper presents the reslt of the action research project issued in Palermo (Southern Italy), in disadvantaged urban suburbs, methodologically based on Kurt Lewin's field theory - that is a three-step spiral process of planning which involves recoinnaissance; talking actions; and fact-finding about the results of the action - in order to develop the social participation and the social change. The principal aim of the project was the empowerment of participants, obtaining their collaboration through participation, giving them acquisition of knowledge for a real social change.

Sindrome dell'acquedotto vestibolare largo ed ossigeno-terapia iperbarica (HBO): caso clinico

2005

Hyperbaric oxygen therapy in the prevention of complications of opens fractures (nonunions, osteomyelitis)

2013

An Online Metric Learning Approach through Margin Maximization

2011

This work introduces a method based on learning similarity measures between pairs of objects in any representation space that allows to develop convenient recognition algorithms. The problem is formulated through margin maximization over distance values so that it can discriminate between similar (intra-class) and dissimilar (inter-class) elements without enforcing positive definiteness of the metric matrix as in most competing approaches. A passive-aggressive approach has been adopted to carry out the corresponding optimization procedure. The proposed approach has been empirically compared to state of the art metric learning on several publicly available databases showing its potential bot…

Optimisation des requêtes de similarité dans les espaces métriques répondant aux besoins des usagers

2012

The complexity of data stored in large databases has increased at very fast paces. Hence, operations more elaborated than traditional queries are essential in order to extract all required information from the database. Therefore, the interest of the database community in similarity search has increased significantly. Two of the well-known types of similarity search are the Range (Rq) and the k-Nearest Neighbor (kNNq) queries, which, as any of the traditional ones, can be sped up by indexing structures of the Database Management System (DBMS). Another way of speeding up queries is to perform query optimization. In this process, metrics about data are collected and employed to adjust the par…

An efficient prototype merging strategy for the condensed 1-NN rule through class-conditional hierarchical clustering

2002

Abstract A generalized prototype-based classification scheme founded on hierarchical clustering is proposed. The basic idea is to obtain a condensed 1-NN classification rule by merging the two same-class nearest clusters, provided that the set of cluster representatives correctly classifies all the original points. Apart from the quality of the obtained sets and its flexibility which comes from the fact that different intercluster measures and criteria can be used, the proposed scheme includes a very efficient four-stage procedure which conveniently exploits geometric cluster properties to decide about each possible merge. Empirical results demonstrate the merits of the proposed algorithm t…

Delineation of Malignant Skin Tumors by Hyperspectral Imaging

2018

This chapter outlines a new non-invasive method for delineation of skin lesions such as lentigo maligna and lentigo maligna melanoma. The method is based on the analysis of hyperspectral (HS) images taken in vivo before surgical excision of the lesions. For this, characteristic features of the spectral signatures of diseased pixels and healthy pixels are extracted, which combine the intensities in a few selected wavebands with the coefficients of the wavelet frame transforms of the spectral curves. To reduce dimensionality and to reveal the internal structure of the datasets, the diffusion maps (DM) technique is applied. The averaged Nearest Neighbor and the Classification and Regression Tr…