Politecnico di Torino

∙ Torino , Italy ∙ 0 followers

For over 150 years, Politecnico di Torino has been one of the most prestigious public institutions in Italy and internationally in training, research, technology transfer and services in all sectors of Architecture and Engineering.

Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques

Extra virgin olive oil (EVOO) is the highest quality of olive oil and is...
04/09/2021 ∙ by Francesca Venturini, et al. ∙ 50 ∙ share

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Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition

Unsupervised Domain Adaptation (DA) exploits the supervision of a label-...
04/21/2020 ∙ by Mohammad Reza Loghmani, et al. ∙ 21 ∙ share

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SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples?

Recently, many adversarial examples have emerged for Deep Neural Network...
02/04/2019 ∙ by Alberto Marchisio, et al. ∙ 16 ∙ share

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Benchmarking unsupervised near-duplicate image detection

Unsupervised near-duplicate detection has many practical applications ra...
07/03/2019 ∙ by Lia Morra, et al. ∙ 3 ∙ share

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Entropy-SGD: Biasing Gradient Descent Into Wide Valleys

This paper proposes a new optimization algorithm called Entropy-SGD for ...
11/06/2016 ∙ by Pratik Chaudhari, et al. ∙ 0 ∙ share

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Memcomputing Numerical Inversion with Self-Organizing Logic Gates

We propose to use Digital Memcomputing Machines (DMMs), implemented with...
12/13/2016 ∙ by Haik Manukian, et al. ∙ 0 ∙ share

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Extracting Lifted Mutual Exclusion Invariants from Temporal Planning Domains

We present a technique for automatically extracting mutual exclusion inv...
02/07/2017 ∙ by Sara Bernardini, et al. ∙ 0 ∙ share

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Universal Memcomputing Machines

We introduce the notion of universal memcomputing machines (UMMs): a cla...
05/05/2014 ∙ by Fabio L. Traversa, et al. ∙ 0 ∙ share

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GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring

Compressive sensing promises to enable bandwidth-efficient on-board comp...
07/07/2017 ∙ by Attilio Fiandrotti, et al. ∙ 0 ∙ share

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A hybrid swarm-based algorithm for single-objective optimization problems involving high-cost analyses

In many technical fields, single-objective optimization procedures in co...
02/24/2014 ∙ by Enrico Ampellio, et al. ∙ 0 ∙ share

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Multilinear Low-Rank Tensors on Graphs & Applications

We propose a new framework for the analysis of low-rank tensors which li...
11/15/2016 ∙ by Nauman Shahid, et al. ∙ 0 ∙ share

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A fuzzy approach for segmentation of touching characters

The problem of correctly segmenting touching characters is an hard task ...
12/08/2016 ∙ by Giuseppe Airò Farulla, et al. ∙ 0 ∙ share

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Discovering Neuronal Cell Types and Their Gene Expression Profiles Using a Spatial Point Process Mixture Model

Cataloging the neuronal cell types that comprise circuitry of individual...
02/04/2016 ∙ by Furong Huang, et al. ∙ 0 ∙ share

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Fast Training of Convolutional Neural Networks via Kernel Rescaling

Training deep Convolutional Neural Networks (CNN) is a time consuming ta...
10/12/2016 ∙ by Pedro Porto Buarque de Gusmão, et al. ∙ 0 ∙ share

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Palette-colouring: a belief-propagation approach

We consider a variation of the prototype combinatorial-optimisation prob...
04/20/2011 ∙ by Alessandro Pelizzola, et al. ∙ 0 ∙ share

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A Novel Progressive Image Scanning and Reconstruction Scheme based on Compressed Sensing and Linear Prediction

Compressed sensing (CS) is an innovative technique allowing to represent...
10/04/2013 ∙ by Giulio Coluccia, et al. ∙ 0 ∙ share

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Spatially Scalable Compressed Image Sensing with Hybrid Transform and Inter-layer Prediction Model

Compressive imaging is an emerging application of compressed sensing, de...
10/04/2013 ∙ by Diego Valsesia, et al. ∙ 0 ∙ share

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The cavity approach for Steiner trees Packing problems

The Belief Propagation approximation, or cavity method, has been recentl...
12/19/2017 ∙ by Alfredo Braunstein, et al. ∙ 0 ∙ share

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TinyLFU: A Highly Efficient Cache Admission Policy

This paper proposes to use a frequency based cache admission policy in o...
12/02/2015 ∙ by Gil Einziger, et al. ∙ 0 ∙ share

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Content Recommendation through Semantic Annotation of User Reviews and Linked Data - An Extended Technical Report

Nowadays, most recommender systems exploit user-provided ratings to infe...
09/28/2017 ∙ by Iacopo Vagliano, et al. ∙ 0 ∙ share

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A Perturbation Scheme for Passivity Verification and Enforcement of Parameterized Macromodels

This paper presents an algorithm for checking and enforcing passivity of...
06/20/2017 ∙ by Stefano Grivet-Talocia, et al. ∙ 0 ∙ share

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Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding Based Peer-to-Peer Live Streaming

Network coding based peer-to-peer streaming represents an effective solu...
07/24/2017 ∙ by Attilio Fiandrotti, et al. ∙ 0 ∙ share

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Foveated Video Streaming for Cloud Gaming

Good user experience with interactive cloud-based multimedia application...
06/15/2017 ∙ by Gazi Illahi, et al. ∙ 0 ∙ share

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Unions of Orthogonal Arrays and their aberrations via Hilbert bases

We generate all the Orthogonal Arrays (OAs) of a given size n and streng...
01/02/2018 ∙ by Roberto Fontana, et al. ∙ 0 ∙ share

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Convex Relaxations for Pose Graph Optimization with Outliers

Pose Graph Optimization involves the estimation of a set of poses from p...
01/07/2018 ∙ by Luca Carlone, et al. ∙ 0 ∙ share

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Task parallel implementation of a solver for electromagnetic scattering problems

Electromagnetic computations, where the wavelength is small in relation ...
01/10/2018 ∙ by Afshin Zafari, et al. ∙ 0 ∙ share

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Approximating the Incremental Knapsack Problem

We consider the 0-1 Incremental Knapsack Problem (IKP) where the capacit...
01/15/2018 ∙ by Federico Della Croce, et al. ∙ 0 ∙ share

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Longest Processing Time rule for identical parallel machines revisited

We consider the Pm || Cmax scheduling problem where the goal is to sched...
01/16/2018 ∙ by Federico Della Croce, et al. ∙ 0 ∙ share

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A Multi-Kernel Multi-Code Polar Decoder Architecture

Polar codes have received increasing attention in the past decade, and h...
02/02/2018 ∙ by Gabriele Coppolino, et al. ∙ 0 ∙ share

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A large deviation approach to super-critical bootstrap percolation on the random graph G_n,p

We consider the Erdös--Rényi random graph G_n,p and we analyze the simpl...
02/06/2018 ∙ by Giovanni Luca Torrisi, et al. ∙ 0 ∙ share

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Improving Recall of In Situ Sequencing by Self-Learned Features and a Graphical Model

Image-based sequencing of mRNA makes it possible to see where in a tissu...
02/24/2018 ∙ by Gabriele Partel, et al. ∙ 0 ∙ share

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Deep Information Networks

We describe a novel classifier with a tree structure, designed using inf...
03/06/2018 ∙ by Giulio Franzese, et al. ∙ 0 ∙ share

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Integrating Software Engineering Key Practices into an OOP Massive In-Classroom Course: an Experience Report

Programming and software engineering courses in computer science curricu...
04/05/2018 ∙ by Marco Torchiano, et al. ∙ 0 ∙ share

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Implicit Coordination of Caches in Small Cell Networks under Unknown Popularity Profiles

We focus on a dense cellular network, in which a limited-size cache is a...
04/05/2018 ∙ by Emilio Leonardi, et al. ∙ 0 ∙ share

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Status Quo in Requirements Engineering: A Theory and a Global Family of Surveys

Requirements Engineering (RE) has established itself as a software engin...
05/21/2018 ∙ by Stefan Wagner, et al. ∙ 0 ∙ share

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Code Design for Non-Coherent Detection of Frame Headers in Precoded Satellite Systems

In this paper we propose a simple method for generating binary short-len...
06/07/2018 ∙ by Farbod Kayhan, et al. ∙ 0 ∙ share

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You, the Web and Your Device: Longitudinal Characterization of Browsing Habits

Understanding how people interact with the web is key for a variety of a...
06/19/2018 ∙ by Luca Vassio, et al. ∙ 0 ∙ share

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Log-sum-exp neural networks and posynomial models for convex and log-log-convex data

We show that a one-layer feedforward neural network with exponential act...
06/20/2018 ∙ by Giuseppe C. Calafiore, et al. ∙ 0 ∙ share

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Agnostic Domain Generalization

The ability to generalize across visual domains is crucial for the robus...
08/03/2018 ∙ by Fabio M. Carlucci, et al. ∙ 0 ∙ share

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Proper likelihood ratio based ROC curves for general binary classification problems

Everybody writes that ROC curves, a very common tool in binary classific...
09/03/2018 ∙ by M. Gasparini, et al. ∙ 0 ∙ share

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On the aberrations of mixed level Orthogonal Arrays with removed runs

Given an Orthogonal Array we analyze the aberrations of the sub-fraction...
09/11/2018 ∙ by Roberto Fontana, et al. ∙ 0 ∙ share

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Characterizing the Power Cost of Virtualization Environments

Virtualization is a key building block of next-generation mobile network...
09/11/2018 ∙ by Senay Semu Tadesse, et al. ∙ 0 ∙ share

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A Bayesian adaptive design in cancer phase I/II trials with drug combinations using escalation with overdose control (EWOC) and adaptive randomization

The use of drug combinations in clinical trials is increasingly common d...
09/12/2018 ∙ by Jose L Jimenez, et al. ∙ 0 ∙ share

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Cloud Gaming With Foveated Graphics

Cloud gaming enables playing high end games, originally designed for PC ...
09/16/2018 ∙ by Gazi Illahi, et al. ∙ 0 ∙ share

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Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms

In novel forms of the Social Internet of Things, any mobile user within ...
10/05/2018 ∙ by D. Bucur, et al. ∙ 0 ∙ share

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A Distributed and Accountable Approach to Offline Recommender Systems Evaluation

Different software tools have been developed with the purpose of perform...
10/11/2018 ∙ by Diego Monti, et al. ∙ 0 ∙ share

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Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems

In this paper, we present sequeval, a software tool capable of performin...
10/11/2018 ∙ by Diego Monti, et al. ∙ 0 ∙ share

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Estimating the Number of Sources: An Efficient Maximization Approach

Estimating the number of sources received by an antenna array have been ...
10/20/2018 ∙ by Tara Salman, et al. ∙ 0 ∙ share

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A new exact approach for the Bilevel Knapsack with Interdiction Constraints

We consider the Bilevel Knapsack with Interdiction Constraints, an exten...
11/07/2018 ∙ by Federico Della Croce, et al. ∙ 0 ∙ share

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A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks

Activation functions influence behavior and performance of DNNs. Nonline...
10/27/2018 ∙ by Alberto Marchisio, et al. ∙ 0 ∙ share

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