In this study, the generalized parametric spectral subtraction estimator is employed in the context of a ROVER speech enhancement framework to develop a robust phoneme class selec...
This paper proposes the variable block-size transform and context-based entropy coding techniques for the enhancement layer of FGS (Fine Granularity Scalable) video coding. First,...
We propose a method for estimating the credibility of the posted information from users. The system displays these information on the map. Since posted information can include sub...
Koji Yamamoto, Daisuke Katagami, Katsumi Nitta, Ak...
Motivated by a problem of targeted advertising in social networks, we introduce and study a new model of online learning on labeled graphs where the graph is initially unknown and...
Abstract. We propose various models for lobbying in a probabilistic environment, in which an actor (called “The Lobby”) seeks to influence the voters’ preferences of voting ...