In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...
We develop a structural model of credit risk in a network economy, where any firm can lend to any other firm, so that each firm is subject to counterparty risk either from dire...
In high-level synthesis for FPGA designs, scheduling and chaining of operations for optimal performance remain challenging problems. In this paper, we present a balanced schedulin...
David Zaretsky, Gaurav Mittal, Robert P. Dick, Pri...
This paper reports the results of our experimentation with modeling worm behavior on a large scale, fully adaptable network simulator. Our experiments focused on areas of worm scan...
Daniel A. Ray, Charles B. Ward, Bogdan Munteanu, J...