The network tomography problem requires a remote source to estimate network-internal statistics on individual links within the network. Several techniques have been proposed to pe...
Reverse-engineering of gene networks using linear models often results in an underdetermined system because of excessive unknown parameters. In addition, the practical utility of ...
Artificial neural networks (ANN's) are associated with difficulties like lack of success in a given problem and unpredictable level of accuracy that could be achieved. In eve...
Easy reuse and integration of declaratively described information in a distributed setting is one of the main motivations for building the Semantic Web. Despite of this claim, reu...
In this paper, we present our efforts towards creating interfaces for networked media exploration and collaborative annotation. The problem is important since online social networ...
Preetha Appan, Bageshree Shevade, Hari Sundaram, D...