The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
In parallel systems, similar jobs tend to arrive within bursty periods. This fact leads to the existence of the locality phenomenon, a persistent similarity between nearby jobs, in...
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
We develop the foundations for a theory of Group-Centric Secure Information Sharing (g-SIS), characterize a specific family of models in this arena and identify several direction...
Ram Krishnan, Ravi S. Sandhu, Jianwei Niu, William...
Identity management has arisen as a major and urgent challenge for internet-based communications and information services. Internet services involve complex networks of relationshi...