Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
In today's fast-paced world, it is increasingly difficult to understand and act promptly upon the content of the many information streams available. Temporal pooling addresse...
Conrad Albrecht-Buehler, Benjamin Watson, David A....
— Space-time communications can help combat fading and hence can significantly increase the capacity of ad hoc networks. Cooperative diversity or virtual antenna arrays facilita...
Gentian Jakllari, Srikanth V. Krishnamurthy, Micha...
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
In this paper, we present a novel type and effect analysis for detecting type cast errors and memory errors in C source code. Our approach involves a type system with effect, regi...