We present a system that learns to follow navigational natural language directions. Where traditional models learn from linguistic annotation or word distributions, our approach i...
In this paper, we present an approved linear-time algorithm for statistical leakage analysis in the present of any spatial correlation condition (strong or weak). The new algorith...
We present an efficient optimization scheme for gate sizing in the presence of process variations. Our method is a worst-case design scheme, but it reduces the pessimism involved i...
Jaskirat Singh, Zhi-Quan Luo, Sachin S. Sapatnekar
In wireless mesh network, by equipped mesh router with multiple radios tuned into orthogonal channels, throughput improvement problem can be alleviated. Efficient channel assignmen...
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...