Emanuele Coviello

TL;DR: Network simulations prove that this modified MIMO carrier sense correctly estimates whether a new communication would harm other ongoing transmissions for a wide range of system parameters.

TL;DR: Chuk et al. as discussed by the authors proposed a hidden Markov model (HMM)-based method to analyze eye movement data, which can describe individuals' eye movement strategies with both fixation locations and tran- sition probabilities.

TL;DR: In this article, a technique for determining annotation items associated with video information is described, where a content item that includes audio information and the video information are received, and then, the audio information is extracted from the content item, and the audio features are analyzed to determine features or descriptors that characterize audio information.

TL;DR: Decision-fusion is proposed, a principled approach to combining the predictions of a diverse collection of content-based autotaggers that focus on various aspects of the musical signal that achieves superior annotation and retrieval performance.

TL;DR: A hidden Markov model (HMM)- based method to analyze eye movement data is proposed and it is shown that using HMMs, the authors can describe individuals’ eye movement strategies with both fixation locations and tran- sition probabilities.