4,743 research outputs found
La casa di Ludovico Ariosto in contrada Mirasole: storia e restauro
Alessandro Ippoliti è responsabile scientifico per
conto del CFR (Consorzio Ferrara Ricerche) del
contratto di ricerca: La casa di Ludovico Ariosto in contrada Mirasole: storia e restauro. Periodo di ricerca: 15/10/2012-15/12/2012
O ser narrativo e ressonante em Novecento, de Alessandro Baricco
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão. Programa de Pós-Graduação em Literatura.Neste trabalho analisamos na narrativa italiana Novecento: un monologo, do escritor contemporâneo Alessandro Baricco, o estabelecimento de uma suspensão na qual é possível narrar, contar histórias. Essa suspensão é criada pelo personagem Novecento, protagonista da narrativa, pianista que passa a vida toda dentro de um navio e conhece o mundo somente por meio das narrativas dos passageiros, as quais faz ressonar em sua música e na narrativa da própria história, que transmite ao amigo Tim, o personagem-narrador do enredo. Com base principalmente nos estudos de Walter Benjamin, consideramos a pobreza de experiência a que o homem foi submetido na modernidade, a necessidade de pensar a História por um viés discursivo questionador e a possibilidade de uma resistência por meio do ato de contar histórias. Novecento é o ser que torna possível a ressonância, nos termos de Jean Luc-Nancy, por meio da qual as narrativas se fazem ouvir, compartir e circular.This study analyzes, in the contemporary Italian writer Alessandro Baricco's narrative Novecento: un monologue, the establishment of a suspension in which it is possible to narrate, to tell stories. That suspension is created by the protagonist Novecento, a pianist who has lived his whole life on a ship and knows the world by means of its passengers' narratives, which resonate in his music and in the narrative of his own story, imparted to his friend Tim, the character-narrator of the plot. Based mainly on Walter Benjamin's studies, we consider the poverty of experience to which man has been subjected in modernity, the need to think History from a questioning point of view and the possibility of resistance through the act of telling stories. Novecento is the being who makes possible a "resonance" (in the sense given by Jean Luc-Nancy) through which narratives can be heard, shared and circulated
Climbing modes and exploring mixtures: a journey in density-based clustering
The density-based formulation aims at recasting the clustering problem to a mathematically sound framework, by linking the groups to some features of the density assumed to underlie the data. Even if early probabilistic approaches to cluster analysis can be traced back to fifty years ago, the topic has recently found a renewed and vibrant interest in the scientific community. This may be motivated both by the computational
advancements witnessed in the last years and by more conceptual and substantial reasons. The increased availability of mixed type and complex structured data has indeed required a rigorous formalization of the clustering problem. Stemming from the same roots, density-based clustering has been developed following two distinct paths. In its parametric formulation, a connection among groups and unimodal components of a mixture model is drawn. On the other hand, according to the nonparametric paradigm, clusters are seen as the domains of attraction of the modes of the density. Revolving around this approach to clustering, the thesis explores both the formulations by highlighting at the same time contact points and dissimilarities.
Moreover differently structured data are considered ranging from the unidimensional setting to more complex three-way structure. Three main contributions can be highlighted. In the first one we derive some asymptotic results to address nonparametric density estimation from a clustering-oriented perspective. In the second contribution we propose an ensemble approach for density-based clustering, which inherits the strengths from both the parametric and the nonparametric formulation, and possibly enhances the robustness and the stability of the partitions. The third contribution addresses the problem of clustering complex multivariate timedependent data by adopting a parametric approach and proposing a flexible modification of the Latent Block Model
La casa di Ludovico Ariosto in contrada Mirasole: rilievo metrico-architettonico e analisi dello stato di fatto
Alessandro Ippoliti è responsabile scientifico per
conto del CFR (Consorzio Ferrara Ricerche) del
contratto di ricerca: La casa di Ludovico Ariosto in contrada Mirasole: rilievo metrico-architettonico e analisi dello stato di fatto. Periodo di ricerca: 10/11/2012-31/12/201
"La casa al centro del mondo"
Presentazione e nuova interpretazione critica de La casa dei sette abbaini di N. Hawthorne.A new critical approach to The House of Seven Gables by N. hawthorn
Nonparametric semi-supervised classification with application to signal detection in high energy physics
Model-independent searches in particle physics aim at completing our knowledge of the universe by looking for new possible particles not predicted by the current theories. Such particles, referred to as signal, are expected to behave as a deviation from the background, representing the known physics. Information available on the
background can be incorporated in the search, in order to identify potential anomalies. From a statistical perspective, the problem is recasted to a peculiar classification one where only partial information is accessible. Therefore a semisupervised approach shall be adopted, either by strengthening or by relaxing assumptions underlying clustering or classification methods respectively. In this work, following the first route, we semi-supervise nonparametric clustering in order to identify a possible signal. The main contribution consists in tuning a nonparametric estimate of the density underlying the experimental data to identify a partition which guarantees a signal warning while allowing for an accurate classification of the background. As a side contribution, a variable selection procedure is presented. The whole procedure is tested on a dataset mimicking proton– proton collisions performed within a particle accelerator. While finding motivation
in the field of particle physics, the approach is applicable to various science domains, where similar problems of anomaly detection aris
A imagem de Alessandro Baricco no Brasil
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão, Programa de Pós-Graduação em Estudos da Tradução, Florianópolis, 2013.Com a intenção de delinear o modo pelo qual o escritor italiano Alessandro Baricco se inseriu no sistema literário brasileiro e os caminhos percorridos pelos seus livros traduzidos, esta dissertação dá voz às experiências tradutórias de seus tradutores. A inserção de Bariccono Brasil tem seu início em 1997, através de uma proposição da Profa. Dra. Roberta Barni à editora Iluminuras da tradução de Oceano Mare. A partir daí, outras sete obras foram publicadas no Brasil, sendo três delas traduzidas por Roberta Barni e as outras quatro por quatro tradutores diferentes. De um lado, considera-se o tradutor como figura principal namediação entre culturas, e, de outro, se analisa a realidade desta figuradentro do sistema literário, sua invisibilidade, seus limites e o exercíciode sua profissão. A pesquisa conta, ainda, com críticas e resenhas referentes ao autor italiano publicadas em jornais consagrados no Brasil, considerando estas como parte constituinte da imagem de Baricco refletida em território nacional. Abstract : Intending to delineate the way the Italian writer Alessandro Baricco has been inserted in the Brazilian literary system and the paths his translated books have followed, this thesis gives voice to the translating experiences of his translators. Baricco's insertion in Brazil began in 1997, through a personal project of Dr. Roberta Barni, with her translation of Oceano Mare. Since then, seven other of his works have been published in Brazil, three of which were translated by Roberta Barni and the other four by four different translators. On the one hand,the translator is considered as the main figure in mediation betweencultures and, on the other, this figure's reality is analyzed within theliterary system: its invisibility, its limits and its professional practice. Criticisms and reviews of this Italian author published in well established Brazilian newspapers are also considered, with the understanding that they are part of Baricco's image reflected here
Prefazione
Prefazione alla edizione della Corrispondenza tra Giovanni Della Casa e Alessandro Farnese
Climbing modes and exploring mixtures: a journey in density-based clustering
The density-based formulation aims at recasting the clustering problem to a mathematically sound framework, by linking the groups to some features of the density assumed to underlie the data. Even if early probabilistic approaches to cluster analysis can be traced back to fifty years ago, the topic has recently found a renewed and vibrant interest in the scientific community. This may be motivated both by the computational advancements witnessed in the last years and by more conceptual and substantial reasons. The increased availability of mixed type and complex structured data has indeed required a rigorous formalization of the clustering problem.
Stemming from the same roots, density-based clustering has been developed following two distinct paths. In its parametric formulation, a connection among groups and unimodal components of a mixture model is drawn. On the other hand, according to the nonparametric paradigm, clusters are seen as the domains of attraction of the modes of the density. Revolving around this approach to clustering, the thesis explores both the formulations by highlighting at the same time contact points and dissimilarities. Moreover differently structured data are considered ranging from the unidimensional setting to more complex three-way structure.
Three main contributions can be highlighted. In the first one we derive some asymptotic results to address nonparametric density estimation from a clustering-oriented perspective. In the second contribution we propose an ensemble approach for density-based clustering, which inherits the strengths from both the parametric and the nonparametric formulation, and possibly enhances the robustness and the stability of the partitions. The third contribution addresses the problem of clustering complex multivariate time-dependent data by adopting a parametric approach and proposing a flexible modification of the Latent Block Model
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