This paper addresses the problem of tracking objects which undergo rapid and significant appearance changes. We propose a novel coupled-layer visual model that combines the targe...
—The concept of risk-based adaptive access control (RAdAC, pronounced Raid-ack) has been recently introduced in the literature. It seeks to automatically (or semi-automatically) ...
Savith Kandala, Ravi S. Sandhu, Venkata Bhamidipat...
Adaptation techniques based on importance weighting were shown effective for RankSVM and RankNet, viz., each training instance is assigned a target weight denoting its importance ...
The Kahn Process Network (KPN) model is a widely used modelof-computation to specify and map streaming applications onto multiprocessor systems-on-chips. In general, KPNs are dif...
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...