Current computer involvement in adolescent social networks (youth between the ages of 11 and 17) provides new opportunities to study group dynamics, interactions amongst peers, an...
Juan Fernando Mancilla-Caceres, Wen Pu, Eyal Amir,...
Understanding the dynamics of technology evolution—whether for the purposes of forecasting new product or technology infrastructure developments, or identifying the basis for fu...
Gediminas Adomavicius, Jesse Bockstedt, Alok Gupta...
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
In this paper, we present a new method for estimating the secret message length of bit-streams embedded using the Least Significant Bit embedding (LSB) at random pixel positions. ...
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...