In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
This paper introduces a method that reconstructs a surface patch by sampling along three concurrent curves on the surface with a touch sensor. These data curves, each lying in a d...
— Many applications that make use of sensor networks require secure communication. Because asymmetric-key solutions are difficult to implement in such a resource-constrained env...
Patrick Traynor, Heesook Choi, Guohong Cao, Sencun...
Current-based gate modeling achieves a new level of accuracy in nanoscale design timing and signal integrity analysis. However, to generate current-based gate models requires addi...
Abstract— Throughput is an important performance consideration for multihop wireless networks. In this paper, we study the joint link scheduling and power control problem, focusi...
Jian Tang, Guoliang Xue, Christopher Chandler, Wei...