We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Over the last decade numerous Active Queue Management (AQM) schemes have been proposed in the literature. Many of these studies have been directed towards improving congestion con...
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....
Tool support for mobile application development can significantly improve programmer productivity and software quality. Pegboard is a novel tooling framework that extends the Ecli...
Tracking humans in an indoor environment is an essential part of surveillance systems. Vision based and microphone array based trackers have been extensively researched in the pas...
Shankar T. Shivappa, Mohan M. Trivedi, Bhaskar D. ...