Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
Ad hoc networks are a type of computational system whose members may fail to, or choose not to, comply with the laws governing their behaviour. We are investigating to what extent ...
We propose a new look at one of the most fundamental types of behavioral interfaces: discrete time specifications of communication--directly related to the work of de Alfaro and H...
Kim Guldstrand Larsen, Ulrik Nyman, Andrzej Wasows...
For five years, we collected annual snapshots of filesystem metadata from over 60,000 Windows PC file systems in a large corporation. In this paper, we use these snapshots to s...
Nitin Agrawal, William J. Bolosky, John R. Douceur...
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...