Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Abstract. Aspect oriented programming brings us new design perspectives since it permits the superimpositions of multiple abstraction models on top of one another. It is a very pow...
In Augmented Reality (AR), see-through Head Mounted Displays (HMDs) superimpose virtual 3D objects over the real world. They have the potential to enhance a user's perception ...
—This paper builds a generic modeling framework for analyzing the edge-creation process in dynamic random graphs in which nodes continuously alternate between active and inactive...
Dynamic information flow tracking is a hardware mechanism to protect programs against malicious attacks by identifying spurious information flows and restricting the usage of sp...
G. Edward Suh, Jae W. Lee, David Zhang, Srinivas D...