This paper describes a machine translation architecture that integrates the use el' examples for flexible, idiomatic translations with the use o1' linguistic rules for b...
Alexander Franz, Keiko Horiguchi, Lei Duan, Doris ...
Multitasking on reconfigurable logic can achieve very high silicon reusability. However, configuration latency is a major limitation and it can largely degrade the system performa...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Wide area aerial surveillance data has recently proliferated and increased the demand for multi-object tracking algorithms. However, the limited appearance information on every ta...
Abstract—In transportation network research, the main approach for predicting traffic distribution due to noncooperative vehicle choices has been through fluid type models. The...