Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
In region surveillance applications, sensors oftentimes accumulate an overwhelmingly large amount of data, making it infeasible to process all of the collected data in real-time. ...
This paper proposes an efficient method to predict the worst case of voltage violation by multi-domain clock gating in a three-dimensional (3D) on-chip power network considering l...
The placement of regenerators in optical networks has become an active area of research during the last years. Given a set of lightpaths in a network G and a positive integer d, re...
George B. Mertzios, Ignasi Sau, Mordechai Shalom, ...