The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Copulas have attracted much attention in spatial statistics over the past few years. They are used as a flexible alternative to traditional methods for nonGaussian spatial modelin...
Search-based test-data generation has proved successful for code-level testing but almost no search-based work has been carried out at evels of abstraction. In this paper the appl...
This paper proposes a robust statistical framework to extract highlights from a baseball broadcast video. We applied multistream Hidden Markov Models (HMMs) to control the weights...
In this paper, we present a model for TCP/IP ow control mechanism. The rate at which data is transmitted increases linearly in time until a packet loss is detected. At that point,...
Eitan Altman, Konstantin Avrachenkov, Chadi Baraka...