— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...
In data intensive sciences like High Energy Physics, large amounts of data are typically distributed and/or replicated to several sites. Although there exist various ways to store...
Opening up large amounts of loosely structured information for easy access and use is a complex problem. This paper describes two systems that address different aspects of the pro...
Earth mover's distance (EMD for short) is a perceptually meaningful dissimilarity measure between histograms. The computation of EMD reduces to a network flow optimization pro...
We present a new algorithm for computing the solution of large Markov chain models whose generators can be represented in the form of a generalized tensor algebra, such as network...