Recently many methods for human articulated body tracking were proposed in the literature. These techniques are often computationally intensive and cannot be used for Human-Compute...
This paper presents a framework for understanding tables of contents (TOC) of books, journals, and magazines. We propose a universal logical structure representation in terms of a...
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
In this paper we describe the result of manually annotating I-CAB, the Italian Content Annotation Bank, by expressions of private state (EPSs), i.e., expressions that denote the p...
Andrea Esuli, Fabrizio Sebastiani, Ilaria Urciuoli
This paper presents a new algorithm for enhancing the efficiency of simulation-based optimisation using local search and neural network metamodels. The local search strategy is ba...