Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
The commonly used task models for real-time systems focus on execution windows expressing earliest start times and deadlines of tasks for feasibility. Within these windows, execut...
This paper introduces an object-passing model for parallel and distributed application development. Object passing provides the object-oriented application developer with powerful...
Entity detection and tracking is a relatively new addition to the repertoire of natural language tasks. In this paper, we present a statistical language-independent framework for ...
Radu Florian, Hany Hassan, Abraham Ittycheriah, Ho...
In previous work, we have developed a "Glance-Look" model, which has replicated a broad profile of data on the semantic Attentional Blink (AB) task and characterized how ...