Abstract: This paper presents a technique for incorporating delayed decision making into stochastic mapping algorithms for concurrent mapping and localization. The approach explici...
Abstract. In this paper we discuss about composing services from standard suites of applications for personal data management in mobile devices. We propose a data model and an inte...
Augusto Celentano, Stefano Faralli, Fabio Pittarel...
Abstract: We show the application of the data analysis tool InfoZoom to a database of Formula One racing results. The user can interactively explore different tabular visualisation...
Abstract. In this paper we elaborate on a kernel extension to tensorbased data analysis. The proposed ideas find applications in supervised learning problems where input data have ...
Marco Signoretto, Lieven De Lathauwer, Johan A. K....
Abstract. Semi-supervised learning and ensemble learning are two important learning paradigms. The former attempts to achieve strong generalization by exploiting unlabeled data; th...