In this paper, we show how the proposed model in ITU-T Recommendation G.1070 “Opinion model for video-telephony applications” cannot model properly the perceptual video qualit...
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
System-level and Platform-based design, along with Transaction Level modeling (TLM) techniques and languages like SystemC, appeared as a response to the ever increasing complexity...
Bruno Albertini, Sandro Rigo, Guido Araujo, Cristi...
Topic models could have a huge impact on improving the ways users find and discover content in digital libraries and search interfaces, through their ability to automatically lea...
David Newman, Youn Noh, Edmund M. Talley, Sarvnaz ...
— In this paper we present a systematic study of the performance of seven different configurations of GPS on a moving vehicle using three different GPS receivers. The seven diff...