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Università della Svizzera italiana

A new constructive heuristic driven by machine learning for the traveling salesman problem

Mele, Umberto Junior ; Gambardella, Luca Maria ; Montemanni, Roberto

In: Algorithms, 2021, vol. 14, no. 9, p. 25

Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem (TSP) exhibit issues when they try to scale up to real case scenarios with several hundred vertices. The use of Candidate Lists (CLs) has been brought up to cope with the issues. A CL is defined as a subset of all the edges linked to a given vertex such that it contains mainly edges that are believed to be...

Consortium of Swiss Academic Libraries

Towards Scene Understanding with Detailed 3D Object Representations

Zia, M. ; Stark, Michael ; Schindler, Konrad

In: International Journal of Computer Vision, 2015, vol. 112, no. 2, p. 188-203

Université de Fribourg

It Takes Two : Instrumenting the Interaction between In-Memory Databases and Solid-State Drives

Lerner, Alberto ; Kwak, Jaewook ; Lee, Sangjin ; Park, Kibin ; Song, Yong Ho ; Cudré-Mauroux, Philippe

In: CIDR 2020, 10th Conference on Innovative Data Systems Research, Amsterdam, The Netherlands, January 12-15, 2020, Online Proceedings, 2020, p. 1-8

In-memory databases rely on non-volatile storage devices for services such as durability and recovery. SSDs can provide the high-performance these services require. When performance problems occur, however, SSDs offer no mechanism to help analyze them. The only alternative is to instrument the database side of the problem and conjecture about what might be the cause of performance...

Università della Svizzera italiana

Multilevel minimization in trust-region framework : algorithmic and software developments

Kopaničáková, Alena ; Krause, Rolf (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO021.

The field of scientific computing is associated with the modeling of complex physical phenomena. The resulting numerical models are often described by differential equations, which, in many cases, can be related to non-convex minimization problems. Thus, after discretization, the solution of large-scale non-convex optimization problem is required. Various iterative solution strategies can be...

Haute Ecole d'Ingénierie

Video processing on SoC

Fracheboud, Loïc ; Corthay, François (Dir.)

Mémoire de bachelor : Haute Ecole d'Ingénierie, 2019.

The goal of this project was to perform real-time video processing tasks on a Zynq SoC with a dedicated development environment embedded in a virtual machine.

Università della Svizzera italiana

Software documentation : automation and challenges

Aghajani, Emad ; Lanza, Michele (Dir.) ; Bavota, Gabriele (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO014.

Despite the undeniable practical benefits of documentation during software development and evolution activities, its creation and maintenance is often neglected, leading to inadequate and even inexistent documentation. Thus, it is not unusual for developers to deal with unfamiliar code they have difficulties in comprehending. Browsing the official documentation, or accessing online resources,...

Università della Svizzera italiana

High-performance interior point methods : application to power grid problems

Kardoš, Juraj ; Schenk, Olaf (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO003.

A software library for the solution of large-scale structured nonconvex optimization problems is presented in this work, with the purpose of accelerating the solution on single- core, multicore, or massively parallel high-performance distributed memory computing infrastructures. A large class of industrial and engineering problems possesses a particular structure, motivating the development of...

Università della Svizzera italiana

Parallel space-time multilevel methods with application to electrophysiology : theory and implementation

Benedusi, Pietro ; Krause, Rolf (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO005.

The goal of this thesis is to design and study an efficient strategy to solve possibly non-linear parabolic partial differential equations on massively parallel machines. Traditionally, when solving time-dependent problems, time stepping methods are used to advance the solution in time. These techniques are inherently sequential and therefore they introduce a bottleneck in the overall...

Università della Svizzera italiana

Computational analysis of deep visual data for quantifying facial expression production

Leo, Marco ; Carcagnì, Pierluigi ; Distante, Cosimo ; Mazzeo, Pier Luigi ; Spagnolo, Paolo ; Levante, Annalisa ; Petrocchi, Serena ; Lecciso, Flavia

In: Applied sciences, 2019, vol. 9, no. 21, p. 4542

The computational analysis of facial expressions is an emerging research topic that could overcome the limitations of human perception and get quick and objective outcomes in the assessment of neurodevelopmental disorders (e.g., Autism Spectrum Disorders, ASD). Unfortunately, there have been only a few attempts to quantify facial expression production and most of the scientific literature ...