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ACL
2010
13 years 6 months ago
Learning to Follow Navigational Directions
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...
Adam Vogel, Daniel Jurafsky
GLVLSI
2010
IEEE
190views VLSI» more  GLVLSI 2010»
13 years 10 months ago
A linear statistical analysis for full-chip leakage power with spatial correlation
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...
Ruijing Shen, Sheldon X.-D. Tan, Jinjun Xiong
TCAD
2008
136views more  TCAD 2008»
13 years 8 months ago
A Geometric Programming-Based Worst Case Gate Sizing Method Incorporating Spatial Correlation
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
ISPA
2007
Springer
14 years 2 months ago
Channel Assignment and Spatial Reuse Scheduling to Improve Throughput and Enhance Fairness in Wireless Mesh Networks
In wireless mesh network, by equipped mesh router with multiple radios tuned into orthogonal channels, throughput improvement problem can be alleviated. Efficient channel assignmen...
Nguyen H. Tran, Choong Seon Hong
WSC
1998
13 years 10 months ago
Adaptive Stochastic Manpower Scheduling
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...
Elmira Popova, David P. Morton