For many tasks in computer vision, it is very important to produce the groundtruth data. At present, this is mostly done manually. Manual data labeling is labor-intensive and prone...
: This is a position paper introducing blob computing: A Blob is a generic primitive used to structure a uniform computing substrate into an easier-to-program parallel virtual mach...
The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Mo...
In recent years research activities in computer network security focus more actively on the development of effective methods in intrusion detection. The reason for this developmen...
Nearly all present-day commercial intrusion detection systems are based on a hierarchical architecture. Nodes at the bottom of the hierarchy collect information, which is passed t...