A statistical algorithm was developed for the damage fault diagnosis and prognosis tool and the present work focuses on the experimental validation. The oxide scale growth experim...
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...
In this paper we consider the problem of actively learning the mean values of distributions associated with a finite number of options (arms). The algorithms can select which opti...
We present the software tool “Web Graph Analyzer”. This tool is designed to perform a comprehensive analysis of the Web Graph structure. By Web Graph we mean a graph whose ver...
Konstantin Avrachenkov, Danil Nemirovsky, Natalia ...
This article proposes a new framework to regularize linear inverse problems using the total variation on non-local graphs. This nonlocal graph allows to adapt the penalization to t...