ARCHITECTURE RECOGNITION BY MEANS OF CONVOLUTIONAL NEURAL NETWORKS

Abstract. The use of mobile computing technologies can change the experience of visiting cultural sites by making vast digital heritage collections accessible on site. The spread of machine learning technologies on mobile devices is encouraging the interaction of artificial intelligence with the shape of the built environment. However, while some research already applies deep learning image recognition in an urban context, the literature on how to develop effective neural networks to detect architectural features is still limited, as well as the availability of architecture-related datasets. This work presents the steps and results of the prototype development of a mobile app to perform monument recognition using convolutional neural networks. The tool allows users to interact with the physical space and access a digital archive of texts, models, images and other data.</p

Shaken Dynamics: An Easy Way to Parallel Markov Chain Monte Carlo

We define a class of Markovian parallel dynamics for spin systems on arbitrary graphs with nearest neighbor interaction described by a Hamiltonian function H(sigma). These dynamics turn out to be reversible and their stationary measure is explicitly determined. Convergence to equilibrium and relation of the stationary measure to the usual Gibbs measure are discussed when the dynamics is defined on Z(2). Further it is shown how these dynamics can be used to define natively parallel algorithms to face problems in the context of combinatorial optimization

Il Ghetto di Roma e Valco San Paolo: studi configurazionali sui ghetti e sulla loro formalizzazione

L'analisi del concetto di spazio pubblico ha consentito, nel tempo, una graduale ridefinizione dell'intero organismo urbanistico delle città. Ogni volta che si definisce un luogo come "pubblico" gli si associano alcune caratteristiche formali che ne definiscono uso, nomenclatura e percezione. Definendo un luogo come "pubblico" intendiamo un luogo come atto ad essere vissuto, secondo un'idea recente [Palazzo and Giecillo, 2010]. La definizione di uno spazio pubblico è un'invenzione che, prima della metà dell'800 non era ancora stata formalizzata rigorosamente. Da un punto di vista analitico non abbiamo modo di definire un luogo come pubblico o meno; questa definizione, lontana dall'empirismo dell'urbanistica, è stata definita alla fine degli anni Â70 dal gruppo inglese di Space Syntax, che ha analizzato e definito rigorosamente lo spazio e ha proposto soluzioni di progettazione e analisi legate ad una visualizzazione particolare dello spazio pubblico.In questo lavoro osserviamo come, attraverso tecniche di Analisi Configurazionale dello spazio, si possano individuare caratteristiche simili in uno spazio pubblico antico e ormai scomparso, il ghetto di Roma nell'800 e uno attuale, a Valco San Paolo. Una analisi analoga può essere riprodotta in modo rigoroso anche con tecniche di teoria dei grafi

The snub dodecahedron and its rectifications

In occasione del 150-esimo anniversario dell'Unita' d'Italia viene mostrato l'unico poliedro convesso uniforme con 150 spigoli e le sue successive rettificazioni.A visualization of polyhedra counting and successive truncations

Parallel Simulation of Two-Dimensional Ising Models Using Probabilistic Cellular Automata

We study the numerical simulation of the shaken dynamics, a parallel Markovian dynamics for spin systems with local interaction and transition probabilities depending on the two parameters q and J that “tune” the geometry of the underlying lattice. The analysis of the mixing time of the Markov chain and the evaluation of the spin-spin correlations as functions of q and J, make it possible to determine in the (q,&nbsp;J) plane a phase transition curve separating the disordered phase from the ordered one. The relation between the equilibrium measure of the shaken dynamics and the Gibbs measure for the Ising model is also investigated. Finally two different coding approaches are considered for the implementation of the dynamics: a multicore CPU approach, coded in Julia, and a GPU approach coded with CUDA

Criticality of Measures on 2-d Ising Configurations: From Square to Hexagonal Graphs

On the space of Ising configurations on the 2-d square lattice, we consider a family of non Gibbsian measures introduced by using a pair Hamiltonian, depending on an additional inertial parameter q. These measures are related to the usual Gibbs measure on Z2 and turn out to be the marginal of the Gibbs measure of a suitable Ising model on the hexagonal lattice. The inertial parameter q tunes the geometry of the system. The critical behaviour and the decay of correlation functions of these measures are studied thanks to relation with the Random Cluster model. This measure turns out to be interesting also because it is the stationary measure of a class of Probabilistic Cellular Automata (PCA). Such PCA can be used to obtain a fast sample of the Ising measures on 2-d lattices

Criticality of Measures on 2-d Ising Configurations: From Square to Hexagonal Graphs

On the space of Ising configurations on the 2-d square lattice, we consider a family of non Gibbsian measures introduced by using a pair Hamiltonian, depending on an additional inertial parameter q. These measures are related to the usual Gibbs measure on and turn out to be the marginal of the Gibbs measure of a suitable Ising model on the hexagonal lattice. The inertial parameter q tunes the geometry of the system. The critical behaviour and the decay of correlation functions of these measures are studied thanks to relation with the Random Cluster model. This measure turns out to be interesting also because it is the stationary measure of a class of Probabilistic Cellular Automata (PCA). Such PCA can be used to obtain a fast sample of the Ising measures on 2-d lattices

Integration of viral genomics with clinical data to predict response to anti-HIV treatment.

Development of antiretroviral drug resistance is a major cause for treatment failure in HIV-infected patients. Although recent advances in molecular diagnostics have made available standardised systems to monitor the development of drug resistance mutations, inferring the drug susceptibility profile from genotype is still inaccurate for clinical purposes. A novel approach is proposed to predict the in vivo efficacy of antiretroviral drug regimens against a given HIV, based on the use of viral genotype data integrated with treatment response data derived from clinical practice.In line with this approach, the present proposal aims at- integrating biomedical information from three large genotype-response correlation databases, thus collecting the required critical mass of data.- developing and validating an array of different engines for effective prediction of the response to treatment based on the integrated biomedical information; different methods will be studied to realize the prediction engines (Case-Based Reasoning, machine learning, and others).- combining the different engines into a predictive system and make it publicly available on the web, with a sponsor based exploitation schema.The EuResist integrated data set, resulting from the merging of some of the largest existing resistance databases, will be the largest in the world. The vastness of genetic and clinical data that will be made available will lead to qualitatively new approaches in data analysis. The EuResist Combined Prediction System will be innovative, based on novel or state-of-the-art methods, some of which have not been applicable before due to insufficient amount of data. Expected advantages of this system include not only more effective care for patients but also significant decrease in global therapy management costs (which are very high).The project can also be considered as a pilot for hepatitis (HCV and HBV) where development of drug resistance is foreseen too